Relationship between Inflation and employment rates and GDP

Relationship between Inflation and employment rates and GDP INTRODUCTION 1.1 BACKGROUND Gross Domestic Product as an indicator of wealth and therefore quality of life has long been criticized (Mederly, P. and et al. 2003). Gross Domestic Product (GDP) is the value of total production of goods and services in a country over a specified period, typically a year. The gross domestic product (GDP) or gross domestic income (GDI) is a measure of a countrys overall economic output GDP can be determined in three ways, all of which should in principle give the same result. The most direct of the three is the product approach, which sums the outputs of every class of enterprise to arrive at the total. The expenditure approach works on the principle that all of the product must be bought by somebody, therefore the value of the total product must be equal to peoples total expenditures in buying things. The income approach works on the principle that the incomes of the productive factor must be equal to the value of their product, and determines GDP by finding the sum of all producer s incomes (Bureau of Economic Analysis, U.S Department of Commerce, 2007). The most common approach to measure GDP is the expenditure method: GDP= private consumption + gross investment + government spending + (exports à ¢Ã‹â€ Ã¢â‚¬â„¢ imports) GDP = C + I + G + (X-M) (Equation 1.1) An event in 1975 that remind us the current GDP in our country where the Malaysian economy slumped into its great recession, with a GDP growth rate of only 0.8 percent, compared to 8.3 percent in 1974. This is one of the effects of increase in oil prices and then substantial price increase in 1973 were bought about mainly shortage of food and raw materials arising from bad weather and increased aggregate demand (Cheng, M.Y. and Tan,.H.B. 2002). According to the above circumstances occurred in 1975, the researcher has choosing one of variables that may relate with fluctuation of GDP which is inflation rate. Inflation means either an increase in the money supply or an increase in price levels. Generally, when we hear about inflation, we are hearing about a rise in prices compared to some benchmark. The study of the effects of inflation on economic growth continues to be an important and complex topic in economics. If inflation has real economic effects, then governments can influence economic performance through monetary policy (Risso, W.A and Carrera, E.J.S, 2009). Therefore, investigating how inflation affects economic growth pertains directly to the optimal design of monetary policy. Results from such studies are particularly important for economies. Besides the inflation, the researcher has considered total employment as one of the variable in the model since economic growth and employment are correlated between each others. The relationship between unemployment and GDP is called Okuns law. It is the association of a higher national economic output with the decrease in national unemployment. This is because in order to increase the economic output of a country, people will need to go back to work, thus lowering unemployment. In order to support the relationship exist between GDP and employment, the researcher has found out the issue supporting the theory that GDP and employment has a positive relationship between each others. According to Hassan, M.K.H. and et al. (2010), in the period of 1996 -1997, the manufacturing sector experienced a rapid growth producing the employment rate in the sector to grow at 7.7 percent per annum but later declining to negative 3.6 percent in 1998 due to the economic recession. In addition, in year 2000, the Malaysian manufacturing sector contributed 33.4% to gross domestic product (GDP), 85.2% to total export and 27.6% to total employment. 1.2 PROBLEM STATEMENT Inflation is a major source of economic instability because it weakens incentives for work and production, distorts the allocate efficiency of the market mechanism, erodes international competitiveness of the domestic industry, and reduces growth potential. According to study by Fischer and Modigliani (1980) suggested a negative and nonlinear relationship between the rate of inflation and economic growth through the new growth theory mechanism. Furthermore, inflation also damages economic growth by lowering domestic and foreign savings, reducing efficiency of resource allocation, and deteriorating the balance-of payments (Risso, W.A. and Carrera, E.J.S., 2009). According to Cheng, M.Y. and Tan, H.B. (2002), the economy has experienced episode of high (1973-1974, 1980-1981) and low (1985-1987) regimes of inflation, and was able to contain low and stable inflation during the high economy growth period of 1988-1996. The second problem statement that should be concerns since the employment can affect the economic growth and it is important variable to determine the quality of production for national output and next will influence the GDP of our country. For example, in the early 1990s, the unemployment rate increased for about a year following the end of the previous recession. Coming out of a recession, companies are thought to be reluctant to hire many more workers until they are convinced about the sustainability of a new economic recovery while people who had left the labor force during the recession return to seek to find jobs (Seyfried, W.). Therefore, the researcher conducts this research in order to examine the correlation exists between inflation rate and employment with GDP so that we can help the country to mitigate the problem occurs by supporting the governments policies to increase the countrys GDP. In addition, this research also useful since the results of the studies can be used in policys decision for resource allocation in order to accelerate economic growth. 1.3 OBJECTIVES The objectives of the study are to: 1.3.1 Analyze the relationship between Inflation Rate and Gross Domestic Product in terms of magnitude and direction. 1.3.2 Analyze the relationship between Total Employment and Gross Domestic Product in terms of magnitude and direction. 1.4 SIGNIFICANCE OF THE STUDY The significances of this study are as follow: 1.4.1 Researcher This study will help the researcher to complete their course requirement and will be as guidelines for their field of work in the future. The researcher can gain many experiences in order to complete this research. There are lot of weaknesses may be obtained and this will encourage the researcher to provide the better research in the future. Future researcher will know and more understanding about gross domestic product when conduct this research. It will give the knowledge to the researcher to identify the correlation exist between inflation rate and employment and it always make the researcher briefing to know deeply and applied the study. 1.4.2 Organization This study might help the organization in analyzing the countrys economic condition in order to prevent and reduce the risk during the inflation and know the effects of the crisis occurs to them. This study also may give some guidance to them to protect their company and industry itself. 1.4.3 Public This study can inform and gives some knowledge to the public the relationship between economic growth, inflation rate and employment. They also can make preparation to face the increasing in inflation rate and able to survive in that situation. 1.5 SCOPE OF THE STUDY The researcher chooses to conduct the research about GDP in Malaysia from 2000 until 2010 In this study, the researcher wants to determine the correlation exist between inflation rate and employment with GDP in Malaysia. It is important because as economic planners and forecasters used the GDP per capita in monitoring economic growth trend for time series. The collection of data of GDP, inflation rate and total employment were collected from Department Of Statistics Malaysia in quarterly basis. 1.6 THEORETICAL FRAMEWORK Figure 1.1: Theoretical Framework INFLATION RATE GROSS DOMESTIC PRODUCT EMPLOYMENT RATE RATE Independent variables Dependent Variable Figure 1.1 represents the dependent variable and independent variables in this study. The function of theoretical framework has been clarified by Sekaran, U. (2003) which is a conceptual model of how one theorizes or makes logical sense of the relationship among the several factors that have been identified as important to the problem. Figure above clearly discuss the correlation between Gross Domestic Product which is variable primary to the researcher while Inflation Rate and Employment act as independent variable which is influences the dependent variable. 1.7 HYPOTHESIS In classical test of significant, two kind of hypothesis are used. They are Null Hypothesis and Alternate Hypothesis. Hypothesis is a conjectural statement that describes the relationship among variable even negative or positive. Null hypothesis which is represent by H0 symbol to show that the relationship between independent and dependent variable is not exist. However alternate hypothesis is representing by H1 symbol to show that the relationship is existing between both dependent and independent variable. According to Sakaran (2004), a hypothesis defines as a logically conjectured relationship between two or more variables expressed in the form of testable statement. Relationship a conjectured on the basis on the network of associations established in the theoretical framework formulated for the research study. There are two hypotheses that can describes the correlation exists between dependent variable and independent variables. Therefore the hypothesis that can be tested as follows: Inflation and GDP H0: there is no significant relationship between inflation and GDP. H1: there is a significant relationship between inflation and GDP. Employment and GDP H0: there is no significant relationship between employment and GDP. H1: there is a significant relationship between employment and GDP. 1.8 LIMITATION / CONSTRAINTS The limitations / constraints are: 1.8.1 Time constraint The length of time is limited since the researcher does not have much time to make detailed research. The time provided only three months and the researcher need to divide time properly to complete the research because the process of collecting data is quite difficult. 1.8.2 Cost constraint The cost involves is quite high since as a student, the researcher only depend on the loan applied. Examples of cost involve in order completing this research such as cost of printing, cost of maintaining the laptop, cost of surfing the internet and etc. 1.8.3 Data constraint Since the researcher use the secondary data, the collection of data that have been publish are so limited and the related material are not very supporting the topic of research. 1.8.4 Lack of experience The researcher is less of experience in conducting the research therefore needs to refer the researchers advisor to process the data and learning the skill that needed as a good researcher. CHAPTER 2 LITERATURE REVIEW 2.1 DEPENDENT VARIABLE 2.1.1 GROSS DOMESTIC PRODUCT (GDP) Generally, according to Chan, W.W. and Lam, J.C. (2000), gross domestic product is a common measure of the economic well-being of a society. When government officials plan for the future, they consider the various economics sectors contributed to the gross domestic products. In the other study by Ivanov, S. and Webster, C. (2007), they use the growth of real GDP per capita gr as a measure of economic growth in line with other publications in the field (see Ivanov and Webster, 2007; Lopes et al., 2002; Plosser, 1992). The function of GDP also has been explained by Kosmidou, K. (2008) where gross domestic product (GDP) is among the most commonly used macroeconomic indicators, as it is a measure of total economic activity within an economy. The gross domestic product growth (GDPGR), calculated as the annual change of the GDP, is used as a measure of the macroeconomic conditions. The significance between GDP, foreign trade and foreign direct investment has been discussed by Liu Ying and Cui Riming (2008) where the economy is highlighted by the significant performance of both its economic growth and its foreign trade and foreign direct investment. Under this background, the correlation of foreign trade, foreign direct investments and economic growth in has become an important issue for academic research. Previous studies support that foreign trade and foreign direct investment have positive impacts on gross domestic product (GDP). In the study by Malul, M. and et al. (2008), the GDPpc is used mainly to compare the standard of living in different countries. It means that the higher of cost of living in a country, the higher earning of gross domestic product of the country. According to Wong, K.Y.(2008),economic growth of an economy refers to the expansion of its production possibility set, as a result of accumulation of primary factors such as labor and capital (physical and human), or improvement of production technologies. However, because the production possibility frontier (PPF) of an economy is not observable, economic growth is usually measured in terms of the growth rate of some observable variables such as real GDP or real per capita GDP. Besides that GDP also one of the result of the countrys economic activities based on the statement of Daly and Cobb (1989), GDP expresses the content of physical flows of capital, industrial production, services, resources and agricultural product. The scientific research has been conducted by Ligon and Sadoulet (2007) using a sample of 42 countries show that GDP growth, which comes from agriculture is at least twice as effective in reducing poverty compared to GDP growth coming from nonagricultural areas. In order to know the correlation between inflation and growth, Gokal, V. and Hanif, S. (2004), stated that the tests revealed that a weak negative correlation exists between inflation and growth, while the change in output gap bears significant bearing. The causality between the two variables ran one-way from GDP growth to inflation. While, according to some consensus exists, suggesting that macroeconomic stability, specifically defined as low inflation, is positively related to ec onomic growth. 2.2 INDEPENDENT VARIABLES 2.2.1 INFLATION RATE (INF) Inflation on economic growth continues to be an important and complex topic in economics. If inflation has real economic effects, then governments can influence economic performance through monetary policy. Therefore, investigating how inflation affects economic growth pertains directly to the optimal design of monetary policy. According to Andres and Hernando (1999), for example, reducing inflation by one percentage point when the rate is 20 percent which results in an increase in the growth rate of 0.5 percent, compared to reducing inflation by one percentage point when the inflation rate is around 5 percent, which results in a decrease in the growth rate by 1 percent. Furthermore, a study by Mallik and Chowdhury (2001), the structuralisms argue that inflation is necessary for economic growth, whereas the monetarists argue the opposite, that is, inflation is detrimental to economic growth such debate started in the 1950s, focused on developing countries, which had long suffered fro m low-growth rates with high rates of inflation and larger deficits in the balance of payments. In order of inflation, the monetarists argue that price stability promotes economic growth and protects the balance of payments. They argue that inflation is major sources of economic instability because it weakens incentives for work and production, distorts the allocative efficiency of the market mechanism, erodes international competitiveness of the domestic industry, and reduces growth potential. They also argued that inflation damages economic growth by lowering domestic and foreign savings, reducing efficiency of resource allocation, and deteriorating the balance-of-payments. To monetarists, stable prices are the starting point in the process of economic development. The policy choice of a country would be stabilization with growth, or stabilization without growth. Several papers are typical of the monetarist tradition. To argue that, according to Fischer and Modigliani (1980) suggested a negative and nonlinear relationship between the rate of inflation and economic growth through the new growth theory mechanism proposed a model where the agents decide the level of labor output, and an increase in inflation reduces labor supply, and producing a decrease in economic production. On the other hand, a study by Mundell and Tobin (1965), the structuralizes argue that inflation normally accompanies economic growth in developing countries because structural rigidities and bottlenecks in supply sectors prevent the elastic supply of some basic commodities such as food, housing, energy, and transportation. Increased income as a result of growth would expand demand for such basic commodities, and prices would rise. The structuralize position is that economic difficulties in developing countries have roots deeper than just the results of inflation. Thus, structuralizes thought that inflationary pressures and det erioration in the balance of payments inevitably are attendant matters of economic growth. In developing countries, there thus would be a trade-off relationship between economic growth and inflation and an attendant deterioration in balance of payments. If a developing country wants stabilization of prices and balance of payments, it must reduce the speed of economic growth, including a sacrifice of employment. Among scholars who support the structuralize position on a positive relationship between inflation and economic performance, predict a positive relationship between the rate of inflation and the rate of capital accumulation, which in turn implies a positive relationship to the rate of economic growth. But, DeGregorio (1996) and Fischer (1926) pointed out, since money and capital are substitutable, an increase in the rate of inflation increases capital accumulation by shifts in portfolios from money to capital and thereby stimulate a higher rate of economic growth was the first to establish a negative correlation between inflation and unemployment. According to Grier and Grier (2006), it presents evidence on the real effects of inflation and inflation uncertainty on output growth. Their main findings are as follows: Inflation uncertainty has a negative and significant effect on growth Once the effect of inflation uncertainty is accounted for, lagged inflation does not have a direct negative effect on output growth; and As predicted higher average inflation raises inflation uncertainty, and the overall net effect of average inflation on output growth. Differ with theory of Bortis, H. (2004), he argues that inflation is a macroeconomic phenomenon represented by a gap between global supply and global demand. Inflation affects the money-output relationship, as does deflation; both phenomena modify the purchasing power of money over domestic output. In this view, price indices cannot come to grips with the inflation phenomenon. While Cheng and Tan (2002) in their study inflation in Malaysia, suggested that main factors affecting Malaysian inflation were external (foreign trade, foreign direct investment and technology transfer). Malaysia has been comparatively successful in balancing strong economic growth with moderate levels of inflation in the periods preceding and following the Asian Financial crisis. Actually, empirical results related to low and medium inflation are of a mixed nature; some papers (mainly these analysing the developed economies) argues that moderate inflation negatively affects growth (e.g. Alexander, 1997, Gillm an et al. 2002; Gillman and Harris 2009; Gillman et al. 2001; Fischer 1993; De Gregorio 1992 and 1993) while other argues that moderate inflation is actually stimulating growth. On the theory side Friedman (1977) in his Nobel lecture argues that a positive relationship between the level of inflation and inflation uncertainty. Friedman points out higher inflation leading to greater uncertainty, which lowers welfare and efficiency of output growth. On the other hand, Ball (1992) formalizes Friedmans hypothesis using an asymmetric information game where public faces uncertainty regarding the type of policymaker in the office. One of the policymaker is willing to tolerate a recession to reduce inflation and the other is not. During the low inflation time, both type of policymakers will attempt and try to keep it low. But, when inflation is high, only the tough type or anti-inflation policymaker will bear the economic costs of disinflation. The argument that central banks should emphasize holding down inflation comes from the beliefs that inflation has an adverse effect on macroeconomic variables, such as output and productivity growth. According to Clark (1982), inflation causes misperception of the relative price levels and leads to inefficient investment plans and therefore affects productivity inversely. Furthermore, inflation erodes tax reductions for depreciation and raises the rental price of capital, which in turn causes a reduction in capital accumulation and therefore in labour productivity. In addition, according to Feldstein (1982) inflation disrupts investment plans by imposing a higher tax rate on corporate profits and through higher effective tax rates on corporate income and accordingly affects productivity (Gilson, 1984; Boskin et al., 1980). Finally, inflation distorts price signals and reduces the ability of economic agents to operate efficiently (Smyth, 1995). According to Chen and et al. (1991), it has documented a significant relationship between the US stock returns and real economic variables such as industrial production, real GNP, interest rates, inflation and money supply. Besides that, there are also otherwise arguments that there is no relation between inflation rate and gross domestic product in the long run. For instance, Faria and Carneiro (2001) investigate the relationship between inflation and output in the context of an economy facing persistent high inflation and they find that inflation does not affect real output in the long run, but that in the short-run inflation negatively affects output. In addition, scholars such as Sidrauski (1967) suggest that there is no relationship between inflation and economic growth, supporting the hypothesis of super neutrality of money. On the other hand, Sarel (1995) asserts that there is a nonlinear relationship between inflation and economic growth. Using 87 countries, he finds the existence of an inflation threshold of 8 percent. Above the threshold there is a negative relationship between inflation and economic growth, whereas under the threshold there is a positive but not significant relationship. The others studies in order to prove Sarels result, Judson and Orphanides (1996) divide Sarels sample of countries into three groups, and they find similar results to Sarel, finding a threshold of 10 percent. Ghosh and Phillips (1998a, b) study 145 countries in the period 1960-1990 again finding similar results. Paul et al. (1997) study 70 countries (of which 48 are developing economies) for the period 1960-1989. They find no causal relationship between inflation and economic growth in 40 percent of the countries, bidirectional causality among 20 percent of the countries, and unidirectional causality for the rest (either inflation to growth or vice versa). Lastly, Mendoza (1998) finds that inflation has had no effect on Mexicos long-run economic growth since he conducted the study of inflation in Mexico. 2.2.2 EMPLOYMENT Some of studies have been conducted to examine the relationship between gross domestic product and employment. For instance, according to Okun (1962) and Philips (1958), they found different relationship both of these. Okun found a negative correlation between unemployment and economic growth, then from both propositions it can be deduced a positive relationship between economic growth and inflation while Phillips proposed a positive relationship between inflation and unemployment implying the same type of relationship. In addition, Boltho and Glyn (1995) found elasticities of employment with respect to output growth in the order of 0.5 to 0.6 for a set of OECD countries. While according to Evangelista and Perani (1996) discovered evidence suggesting that restructuring of major economic sectors reduce the relationship between economic growth and employment. A specific research conducted by Seyfried, W., among the G7 countries (Canada was excluded), a positive and significant relationship between growth in value added and employment was found only in Germany and the US. In addition, according to Verdoon (1949) and Kaldor (1966), an increase in output growth of 1 percent leads to an increase in productivity and employment growth of half a percentage point each. It should be noted that the higher the productivity effects of growth, the more difficult it will be to keep unemployment from rising. According to Okuns Law an increase of the economic growth rate by 3 percent (above the normal rate) was expected to reduce the unemployment rate by 161 percentage point. Or, to put it the other way round: The gain of real GDP associated with a reduction in unemployment of one percentage point was estimated to be 3 percent. Several studies also have been conducted to examine the correlation exists between employment and inflation rate. One of the studies by Spithoven, A.H.G.M. (1995), by the end of the 1960s evidently there was no fixed relationship between unemployment and inflation. Empirical research revealed that the relationship was not consistent over time and varied sharply between countries. This was explained as follows: in the short run higher nominal wages attract more labour and engender a fall in the rates of unemployment. As soon as the workers recognize the wage rise to be purely nominal they abstain from work, and unemployment is restored to the pre-wage-rise level, but with a level of prices higher than before. Secondly, according to Brenner (1991), confronted with a combination of unemployment and inflation (stagflation), many governments abandoned efforts to regulate the economy by the Keynesian instruments. They declared fiscal policies ineffective and sought refuge in a mixture of m onetary measures with supply-side economics. According to Keynes (1946), the volume of employment is given by the point of intersection between the aggregate demand function and the aggregate supply function. This was naively interpreted and construed to imply that a rise in costs and with this was meant a rise in costs owing to increasing government expenditure will result in an upward shift of the supply curve and will cause greater unemployment and inflation. CHAPTER 3 RESEARCH METHODOLOGY AND DESIGN 3.1 MODEL SPECIFICATION This study is to examine the correlation exists between inflation rate and total employment with gross domestic product. It uses secondary data which is based on time series data. The collection of time series data from 1982 to 2006 and the scope is in Malaysia. The researcher applied STATA software to process the data and log-log model in this study. The model applied a log transformation, since log transformations help, at least partially, to eliminate the strong asymmetry in the distribution of inflation (Sarel, 1995) and (Ghosh and Phillips, 1998a, b). The logarithm equation is written in the Equation 3.1. GDP = ÃŽÂ ± + ÃŽÂ ²1In(INF) + ÃŽÂ ²2ln(EMP) + ÃŽÂ µ (Equation 3.1) Where, GDP = Gross Domestic Product ÃŽÂ ± = Constant ÃŽÂ ²1 = Inflation ÃŽÂ ²2 = Employment ÃŽÂ µ = Error term In above equation, it shows clearly dependent variable that has been applied in this study is gross domestic product, besides that, the researcher also used two independent variables which are quantitative variables, they are inflation rate and total employment. 3.1.1 DEPENDENT VARIABLE The dependent variable is the variable of primary interest to the researcher. The researchers goal is to understand and describe the dependent variable, and to explain its variability, or predict it (Sekaran, 2006). Dependent variable of this study is factor contributed to the gross domestic product. According to Zikmund (2000), independent variable is a criterion that predicted or explained. It show that the component contributed to improving of gross domestic product depend on the listed independent variables. 3.1.2 INDEPENDENT VARIABLES According to Zikmund (2000), independent variables that expected to influence the dependent variable. Refer to (Burn and Bush, 2000), independent variables are those variables over which the researcher has some control and wishes to manipulate. In this study, two independent variables will influence the dependent variables. They are inflation rate and employment. 3.2 DATA SET AND METHODOLOGY The collections of data in this research only gain from secondary data and based on time series data which are from 2000 to 2010. The researcher has considered annual data of real GDP, inflation rate and employment. All the data on the growth rate of real GDP, Inflation and total employment were obtained from Department of Statistics Malaysia database. GDP is considered per capita. In addition, according to Aigenger (2005) per capita real GDP is also used as an alternative measure of productivity, as some theoretical models do. Moreover, according to OECD (2001), living standards as represented by per capita income reflects productivity since the former is determined, to a significant extent, by the latter. CPI consider in weight 100 while employment in number of labor. The variables were selected based on relevant economic theories that allow for the interaction among inflation rate and total employment in addition to response to GDP. 3.3 TECHNIQUE ANALYSIS DATA In this research, the researcher has applied unit SPSS in order to determine time series data is stationary or non stationary about the correlation between inflation rate and employment with gross domestic product. The researcher examines the existence of a long-run relationship between inflation and employment with GDP using a vector error-correction model (VECM) after applying Johansens (1988, 1990, and 1995) cointegration technique. We conduct a test for weak exogeneity in order to do inference. Then, the researcher conduct stability test by using Jarque Bera test in order to test normality distribution between the variables selected. Finally, a modified version of the Granger causality test is applied in order to analyze causality between the variables. 3.4.1.1 Multiple Regression Analysis Multiple Linear regression analysis is an analysis of the relationship between one variable (dependent variable) and set of variable (independent variables). It is used by the researcher to test the hypothesis. As in all hypothesis tests, the goal is to reject the null hypothesis and accept the alternative hypothesis. This technique will identify how much of the variance in the dependent variables can be explained by independent variables. This analysis is used primarily for the purpose of pre

Unemployment as an Indicator of Macroeconomic Performance

Unemployment as an Indicator of Macroeconomic Performance The rate of unemployment is one of the most important indicators of macroeconomic performance. Unemployment arises due to the distortions in the supply of labor cause by the non-competitive wage differential. During the period from 1945 until at least 1968, unemployment rates in the major European economies were extremely low by todays standards. For instance in the United Kingdom, the average rate of unemployment for the entire period was about 1.8% of the labor force and in worst years it did not even exceed 2.5%. The main driving force was autonomous rather than policy related. These forces include waves of new products and processes, spread of trade and development around the world. However the cause of unemployment problem in Europe in comparison to the United States was their labor market institutions while the United States is far more superior due to the flexibility of their labor market. In this paper, determinants of unemployment in US are the concerns with economic growth as the main concern. Economic growth of a nation is the increase in a nations real output that occurs over time. In general, growth and unemployment are closely related as unemployment affects the growth rate through the scale of operation of an economy. Besides that, FDI inflow and inflation are taken into account altogether to identify the relationship towards the unemployment rate. 1.1 Background As unemployment is one of the most important economic indicators, the unemployment rate provides useful information such as how the labor market works as well as the percentage of human capital that is not used in the production process, which is especially crucial towards policy makers. Consequently, it is important to analyze the factors that impact the unemployment rate regardless short or long term perspective. The United States of America is a developed country which has one of the largest population and production in the world (Encyclopedia, 2010). As unemployment are explained by structural factors mainly by inflexible labor market. One may wonder the about the impact which economic growth, inflation and FDI have on the unemployment rate of the United States of America as the clutches of unemployment are hard to escape even for a develop country, especially for US which possesses by far the most flexible labor market. As a case study, the United States of America has been chosen as the research country. United States of America is reckoned to be particularly appropriate as United States of America labor market has proven by all accounts to be more dynamic in the sense of a higher level of job turnover, resulting in high vacancy levels at any point in time. Recently, unemployment rate in the United States of America has been found to be as high as 9.6% as of August 2010 compared to the 4. 1% ten years ago (Bureau of Labor Statistics, 2010). In the mean time the real GDP growth in 2000 was at 4.14% when the unemployment rate was 4.1% while the real GDP growth in 2003 was at 2.49% when the unemployment rate was 5.8% (Bureau of Labor Statistics, 2010). From here, it can be seen that unemployment rate moves in the opposite direction of economic growth, yet there were different versions of results concluded by different previous researchers. 1.2 Problem Statement Unemployment has been a famous macroeconomic variable that researchers tend to use to study on but even with so many researches carried out, some of the results obtained are not consistent with one and another. For instance, the debates among Monetarist and Keynesian views of unemployment as well as the new contributions of Lucass approach and new Keynesian Economics shows that there was no reason to account for growth in the unemployment model. However, a significant innovation occurred with Pissarides'(1990) formulation of an unemployment theory in equilibrium. In many previous attempts, he formalize a unique framework to study the labor market dynamic perspective, providing useful tools to analyze both long and short run unemployment. Pissarides also introduced a first link between long run unemployment and growth which matches the neoclassical framework of economic growth. ( Pissarides, 1990 Ch. II) In the case of US, its economy began its current economic recovery in December 2001. However, rather than experiencing employment growth, not only did the unemployment rate increase but the number of new jobs created in the economy actually declined significantly during the first year of the recovery (Seyfried). Thus this paper is conducted so as to affirm the relationship of economic growth has on the unemployment rate of the country. As some results obtained by past researchers showed that economic growth impacts unemployment whereas the others came to a conclusion that unemployment causes economic growth whereby the existence of Granger Causality relationship is quite possible. In this study, economic growth, inflation and FDI serves as explanatory variable to determine the relationship towards unemployment rate in the United States of America. 1.3 Objectives This study aims to investigate the determinants of unemployment rate in the United States of America with economic growth as the main concern in addition with inflation and FDI (foreign direct investment) to further assure that it is coherent with the results obtained from previous studies. 1.3.1 Specific objectives This paper aims to examine the relationship between economic growth, inflation and FDI towards the unemployment rate. On the other hand, this paper serves to probe further into the relationship between economic growth, FDI, and inflation towards unemployment to sustain the existence of granger causality relationship. 1.4 Significance of study The contribution of carrying out this study is to allow policy makers to have an insight of unemployment so as to allow them to decide on suitable policy that will help bring down the unemployment rate while sustaining appropriate inflation level and attract sufficient FDI inflow. The results generated will help provide insight to the nature of the relationship between economic growth, inflation, and FDI towards unemployment. It would be useful to policy makers to know the rate and relationship of economic growth as it is necessary to reduce the unemployment rate, or at least keeping it from rising. Moreover, in previous studies, FDI is found to have impacted the unemployment rate indirectly through spillover effects from economic growth. In this study, however, FDI is incorporated directly to affect unemployment growth; therefore the effectiveness of the implemented policy will be taken into account more effectively. CHAPTER 2: Literature Review 2.1 Conceptual Model According to Alexopolous (2003), in the case where there is technological growth in the economy, families will increase their investment in capital, which in turn increase the amount of family purchased consumption workers receive over time. As a result, firms optimally increase the wage rate proportionately in order to prevent workers from shirking on the job. Therefore, the rate of unemployment along the balanced growth path will not change over time, since the marginal product of labour and the marginal cost of labour grow at the same rate. Based on De Groot, in general, growth and unemployment are intimately related for two reasons. Unemployment affects the scale of operation of the economy and thereby the growth rate. Growth affects inter-temporal decisions of workers about where to allocate on the labor market once they are laid off, and thereby it affects equilibrium unemployment. According to Brecher (2007), rapid economic growth and FDI, accompanied by higher per capita income, usually increase output growth. Thus, domestic firms and foreign multinational corporations will demand more labour force with skills to create products. Hence, economic growth can promote future employment growth for labour force based on new Keynesian theory of the output-inflation tradeoff. Some studies found that overseas investment replaced domestic employment in developing countries; however, the same result did not happen in developed countries. Tremblay (2007) pointed out that based on classical economic theory, the Phillips Curve illustrated long-run tradeoff between unemployment and inflation. There is an inverse relationship between inflation and unemployment, that is saying inflation will rise when unemployment decrease and vice-versa. Futhermore, Luciano Fanti and Piero Manfredi (2003) mention that the neoclassical Solow model, which still provides excellent econometric fits and shows a globally stable positive growth equilibrium, but also shows two restrictive features as regards the scope of this paper: (1) it does not take into account the stylized fact of the existence of unemployment, which is generally not only positive but also strongly fluctuating; (2) in such a model fluctuations have never been endogenously determined Meanwhile, Martin Zagler (2006) noticed that the cost associated with economic growth is structural unemployment, as structural change destroys jobs in one firm and creates jobs in another. The source of unemployment is the rate of intra-sector structural change associated with faster economic growth. Besides, Bonatti (2007) says that an increase of the workers influence on the political process may raise the fraction of GDP allocated to finance the welfare state, thus leading to a higher unemployment rate and to a lower growth rate. The research work done by Chang (2007) noticed that when the degree of trade openness of Taiwan is larger, the unemployment rate of Taiwan will increase, this is because the young men and young women in Taiwan desire to extend their education in working age. According to Phillips (1998), the negative relationship between inflation and unemployment can be explained through governments expansionary policy to increase the consumption level of the citizens. As labor market tightens, unemployment rate will fall as money wages tended to rise more rapidly. Unemployment will then increase as government tries to control the inflation rate. This is because the increment in wages is closely related with the increase in price. Therefore, the trade-off between these two variables can be seen. 2.2 Methodology Effects panel regression methods were used by Zagler (2006) on the relationship between economic growth and unemployment. Moreover, Zagler (2006) checked his estimated model with the unit-root test to test the stationary of the model. In order to obtain information about the relationship between inflation and unemployment, the procedure of den Hann was employed by Bae (2006), which has the advantage as no assumptions about the order of integration in the variables of interest is required. The procedure estimates a vector regressions (VAR) model and analyzes the correlations of VAR forecast errors of inflation and unemployment at long horizons. Chang (2007) used vector autoregression method of variance decomposition and impulse response function analysis are applied to analyze various relationships among foreign direct investment (FDI), economic growth, unemployment and degree of openness in Taiwan. Besides that, he also uses the unit root test of augmented Dickey-Fuller (ADF and KPSS) test to examine the stationary properties of the economic time series. The appropriate lag-length in the ADF regression is selected by minimizing the Akaikes information criterion (AIC). He also uses co-integration test to determine whether there exists a long-run equilibrium relationship among variables and weak exogeneity, and multivariate Granger-causality test to determine their causal direction in the short-run between all variables. Besides, he also has applied the VAR technique of variance decomposition and impulse response function analysis to analyze various inter-relationships between FDI, unemployment rate and GDP variables in the case of Taiwan from the period of 1981 to 2003. Meanwhile, Eric Heyer, FrÃÆ' ©dÃÆ' ©ric ReynÃÆ' ¨s, Henri Sterdyniak (2006) present the results of the DF-GLS unit root test to test the growth rate of consumer price and also unemployment rate. 2.3 Empirical Result Zagler (2006) has carried out a research which empirically investigated the link between economic growth and unemployment, using micro econometric evidence for the United Kingdom. The results generated showed a significant and negative relationship between unemployment and economic growth. According to the result generated by Muscatelli and Tirelli (2001), it is proven that there is a negative relationship between economic growth and unemployment as Japan, Germany, Italy, France and Canada. This result is generally in favour of those theories which predict a negative linkage between unemployment on economioc growth Besides, Pehkonen (2000) stated that a fall in GDP has significant relationship with unemployment as a drop in the GDP in Finland leads to an increase in the unemployment since demand for labor have shrunk. Therefore, Pehkonen (2000) concluded that unemployment would increase as a result of a decrease in economic growth. Meanwhile, Mitra and Sato (2007) found that the major links between external scale economies and growth are perceived in terms of technical efficiency, and higher growth is taken to reduce the unemployment rate. Futhermore, Scahaik and Groot (1998) found that the unemployment and economic growth relationship in imperfect competition economy and different periods, where structural changes occur, has a negative correlation and effect of different degrees through testing the structural stability. Chang (2007) proved that economic growth as well as FDI have negative effects on unemployment as FDI are expected to generate economic growth by encouraging the expansion of trade and foreign investment. In addition, according to Solows growth theory, employment for labour force with skill can further promote economic growth and this can be verified by Taiwans economy model. Okuns law stating that reducing unemployment for labour force can promote further economic growth is then verified. Furthermore, unemployment is very sensitive to changes in GDP and vice versa, which does lend support that rising economic growth can obviously affect unemployment for labour force. shock of unemployment rate has negative effect on economic growth . He also mentions that the shocks in economic growth and FDI inflow decrease the unemployment rate. This means that rapid economic growth and FDI inflow, accompanied by higher per capita income can promote future employment growth for labour force. In the research study of Meckl (2001), correlation between growth and unemployment is shown to be positive if the research sector is of the high-wage sector in the economy, and negative if the research sector is the low-wage sector. Arico (2003) has already observed that the rate of growth is negatively related with the rate of unemployment. If the growth rate increases, it will decrease the net rate at which the stream of profits is discounted. For each firm the entry will result less costly. More vacancies will be created, reducing the unemployment rate. (Capitalization effect).On the other hands, It will reduce the life-time of each firm, by increasing the price for human capital. Each innovation will generate fewer vacancies than before. That will be reflected in an increase of the rate of unemployment. (Indirect creative destruction effect). Besides, Fanti and Manfredi (2003) has shown a negative relation between unemployment and growth , though we should also mention the positive relation between unemployment and growth obtained in the particular creative disruption context according to Schumpeters idea. Fanti and Manfredi alsomshows a surprising relation between unemployment and growth (via effects on population which is an endogenous engine of growth): this relation can be either positive or negative depending on the relative levels of cost of childrearing of workers and unemployed persons and the level of unemployment benefits. Meanwhile, Bonatti (2007) noticed that reduction of government transfers in favor of the workers allows decreasing the ratio of total tax revenues to GDP, thus monotonically increasing the growth rate and leading to a lower unemployment rate. CHAPTER 3: RESEARCH METHOD 3.1 Data Analysis 3.1.1 Unemployment Rate In this study, unemployment rate is the main study which was examine by using some explanatory variables. According to BLS, Bureau of Labor Statistics, (2009) those people who are with jobs can be considered as employed. On the other hand, a person will be classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work. Dixon Shepherd (2002) stated that the unemployment rate can be considered as one of the most important indicators of macroeconomic performance in a country. The data of unemployment rate is obtained from the Bureau of Labor Statistics (BLS) which if measured in percentage from those people who are 16 years old and above from year 1970 to 2007. The method which BLS used to calculate the unemployment rate in United States is: X 100% 3.1.2 Real Gross Domestic Product Real gross domestic product (Real GDP) in a country can be measured by the total output value of goods and services which produced from the domestic labor in the country in a given year, expressed in base-year prices. In this study, it is expected that there is a negative relationship between the Real GDP and unemployment rate in United States. The source of the United States Real GDP data is from the World Bank World Development Indicators and International Financial Statistics of the IMF. On the other hand, the data obtained was converted to a 2005 base year. The formula to calculate the data of United States Real GDP is as below: 3.1.3 Foreign Direct Investment Foreign direct investment (FDI) is a kind of investment which is made to serve the business interest of the investor in a company which is in a different nation distinct from the investors country of origin. An example of FDI is a foreign company comes into a country to build or buy a factory and run a business there. Many economists believe that FDI is good for an economy, because it provides domestic job opportunities and increase domestic capital. In this study, net inflows of foreign direct investment in the measurement of current US Dollar are used. A net inflow of foreign direct investment is the total amount or value of the investment flow into United States from foreign investors to operate their business in United States and negative relationship between foreign direct investment and unemployment rate is expected in United States. 3.1.4 Consumer Price Index Consumer price index (CPI) is measured that examines the weighted average of prices of a basket of consumer goods and services in a country, such as transportation, food, rental fees and utilities fees. CPI is one of the measurements of inflation rate. According to Bureau of Labor Statistics (BLS), the prices for the goods and services used to calculate the CPI are collected in 87 urban areas in United States from about 23,000 retail and services establishments. The CPI data used in this study included all consumer items in United States from year 1970 to 2007. 3.2 Research Framework 3.2.1 Unemployment rate and Real Gross Domestic Product Based on the study, unemployment and real gross domestic product is expected to be negatively related. Edward (2007) stated there is a negative relationship between real gross domestic product and unemployment because of the theory of Okuns law. According to Okuns law, 1% increase in the unemployment rate will decrease GDP by 3%. However, Christopher (2010) said that, Okun coefficients can change over time because the relationship of unemployment to output growth depends on laws, technology, preferences, social customs, and demographics. 3.2.2 Unemployment and Consumer Price Index Consumer price index is one of the most frequently used statistics for identifying periods of inflation or deflation. This is because large rises in CPI during a short period of time typically denote periods of inflation. Therefore, we expect that there is an inverse relationship between the rate of unemployment and rate of inflation. According to the Phillips Curve theory, if the unemployment is high, inflation tends to be low. The diagram below shows the Phillips curve. Inflation Phillips curve Unemployment However, the result shows a positive relationship in our regression model. This problem will occur because of the multicolinearity problem in our regression model. But when one independent variable by one independent variable with the unemployment is tested, negative sign for consumer price index and unemployment are obtained. Bae (2006) stated that there is a positive long run relationship between unemployment and inflation. 3.2.3 Unemployment and Foreign Direct Investment In this study, inflow of foreign direct investment were expected to affect the unemployment rate significantly and expected that foreign direct investment has a negative long run relationship with unemployment. Foreign direct investment will increase job opportunities so, unemployment rate will decrease. Shu (2007) stated that FDI have negative effects on unemployment as FDI are expected to generate economic growth by encouraging the expansion of trade and foreign investment. 3.3 Econometric Methodology 3.3.1 Introduction This chapter consist the used of the method to examining the relationship between the unemployment and economic condition in United State by using the time series data ranging from the year 1970 to 2007. First, the result testing will start with the test of stationary by using Augmented Dickey-Fuller unit root test and proceed with the cointegration test. Secondly, the Multiple Regression Analysis and several ways to detect the assumption of the Classical Linear Regression Model (CLRM). The multicollinearity is used to test the correlation analysis. Breusch-Godfrey Serial Correlation LM Test is used to test the existence of serial autocorrelation, Autoregression Conditional Heteroscedasticity Test is used for testing the heteroscedasticity variance of error of the model and Ramsey RESET Test is used to detect the linearity regression and misspecification error. Unemployment = f (RGDP, FDI, CPI) RGDP = Real Gross Domestic Product FDI = Foreign Direct Investment CPI = Consumer Price Index The change in unemployment is our main study that we want to examine with using a few of variables which are RGDP (Real Gross Domestic Product), FDI (Foreign Direct Investment) and CPI (Consumer Price Index). y = ÃŽÂ ²0 + ÃŽÂ ²1Ln (RGDP) + ÃŽÂ ²2 (CPI) + ÃŽÂ ²3 (FDI) + Econometric Model with Expected Sign: = ÃŽÂ ²0 + ÃŽÂ ²1L (RGDP) + ÃŽÂ ²2 (CPI) + ÃŽÂ ²3(FDI) (-ve) (-ve) (-ve) Where +ve indicates that there is a postive relationship between the explanatory variable and dependent variable. On the other hand, -ve indicates that there is a negative relationship between the explanatory variable and dependent variable 3.3.2 Unit root A unit root test is used to examine whether a time series variable is stationary. In the model, T-statistic, F-statistic and R-squared are used to determine to ensure the validity of the test statistics is stationary. The result will become spurious regression problem if the non-stationary series in the ordinary least square (OLS) regression is used. Spurious regression result in high significant T-statistic and highly value for the coefficient of determination R-squared, and the R-square is larger than Durbin Watson. Therefore, if the stationary does not hold, estimate is not consistent and result will be misleading. To avoid the spurious regression problem, the Augmented Dickey-Fuller test (ADF) is used to examine the stationary of the variable. An Augmented Dickey-Fuller test (ADF) is used to test for a unit root in a time series sample. The Augmented Dickey-Fuller (ADF) statistic used in the test is a negative number. Therefore, the more negative value is, more power the rejection of the hypothesis that there is a unit root at some level of confidence. The equation for Augmented Dickey-Fuller (ADF) test Where ÃŽÂ ± is a constant, ÃŽÂ ² is the coefficient on a time trend and p is the lag order of the autoregressive process. ÃŽÂ ± = 0 and ÃŽÂ ² = 0 corresponds to modeling a random walk and ÃŽÂ ² = 0 corresponds to modeling a random walk drift. By including lags of the order p, the ADF formulation allows for higher-order autoregressive processes. This means that the lag length p needs to be determined when applying in the test. One possible approach is to test from high orders and examine the t-value on coefficients. The criterion such as the Akaike information criterion (AIC), Schwarz-Bayesian information criterion (SBIC) or the Hannan-Quinn information criterion (HQIC) test is used to examine the lag length. 3.3.3 Granger Causality The Granger Causality test indicates that a time series Y is said to be Granger caused by X if X helps the prediction of Y or equivalently if the coefficients on the lagged X are statistically significant. Granger Causality shows two-way causation in the case. X Granger causes Y and Y Granger causes X. It usually through a series of t-tests and F-tests on lagged values of X and lagged values of Y. 3.3.4 Multiple Regressions The ordinary least squares (OLS) or linear least squares are a method to examine the unknown parameters in a linear regression model. It is used to assume the distribance, ui. According to Gujarati (2003), ui stands for the normal distribution representing zero mean and constant variance, à Ã†â€™2 in the multiple regression models. With the normality assumption, OLS estimators 1, and 2 are linear functions of ui. Therefore, if ui are normally distributed, so 1,and 2 will make hypothesis testing more straightforward. OLS estimators of the partial regression coefficients are identical with the maximum likelihood (ML) estimators. There are the best linear unbiased estimators (BLUE). Besides, the least-square estimators are best unbiased estimators (BUE); it means that they have minimum variance in the entire class of unbiased estimators. 3.3.5 Multicollinearity Multicollinearity shows the two or more independent variables in a multiple regression model are highly linearly related. The multicollinearity test is perfect if the correlation between two independent variables is equal to 1 or -1. Multicollinearity will occur when there is a strong linear relationship among two or more independent variables. The equation below is refer the variables is perfectly multicollinear if there exist one or more exact linear relationships among some of the variables. Estimates for the parameters of the multiple regression equation is The ordinary least squares estimates include inverting the matrix XTX where, It indicate that if the linear relationship (perfect multicollinearity) is exactly with the independent variables, the rank of X is less than k+1 and the matrix XTX will not invertible. One of the detection of multicollinearity is used detection-tolerance or the variance inflation factor (VIF) for multicollinearity where R2j is the coefficient of determination of a regression of explanatory j on all the other explanators. Tolerances of less than 0.20 or 0.10 or a VIF of 5 or 10 and above reveal a multicollinearity problem. 3.3.6 Breusch-Godfrey Serial Correlation LM Test Breusch-Godfrey Serial Correlation LM test is a test of autocorrelation that is basically allows for nonstochastic regressors such as the lagged values of the regressand; higher-order autoregressive schemes such as AR (1), AR (2), etc and higher-order moving averages of white noise error terms such as t. Two variable regression models to illustrate the test, regressors can be added to the model and also lagged values of the regressand can be added to the model. Yt =ÃŽÂ ²1 +ÃŽÂ ²2Xt +ut The error term ut assume that the pth-order autoregressive, AR (p), Ut = ptut-1 + ptut-2 + à ¢Ã¢â€š ¬Ã‚ ¦+pput-p + t. where t.is a white noise error term. The null hypothesis H0 can be show as Ho: p1 = p2 = à ¢Ã¢â€š ¬Ã‚ ¦ = pp = 0 (no autocorrelation) At 5% significant level, if the computed p value of Chi-square is less than Chi-square tests, do not reject the null hypothesis, meaning that there is no autocorrelation problem. If computed p value of Chi-square is more than Chi-square tests, reject the null hypothesis, meaning that there is autocorrelation problem. 3.3.7 Autoregressive Conditional Heteroscedasticity Test In econometrics, Autoregressive Conditional Heteroskedasticity (ARCH) model assume that the variance of the current error term is related to the previos one. Autoregressive Conditional Heteroskedasticity model is used to model the time series with time-varying volatility such as stock price. 3.3.8 Specification error Ramsey Regression Equation Specification Error Test (Ramsey RESET test) is used to examine the specification error. The specification test for the linear regression model. More specifically, it is used to test the specification error in the equation. As the result, if the non-linear combinations of the independent variables have any power in explaining the dependent variable, means that the model is mis-specified. Consider the model Ã…Â · = E {y | à Ã¢â‚¬ ¡ } = ÃŽÂ ²Ãƒ Ã¢â‚¬ ¡ The Ramsey test is used to test whether the (ÃŽÂ ²1à Ã¢â‚¬ ¡)2, (ÃŽÂ ²2à Ã¢â‚¬ ¡)3à ¢Ã¢â€š ¬Ã‚ ¦,(ÃŽÂ ²k-1à Ã¢â‚¬ ¡)k has any power in explaining y. The Ramsey test is executed by calculate the following linear regression Ã…Â · = ÃŽÂ ²Ãƒ Ã¢â‚¬ ¡ + ÃŽÂ ²1Ã…Â ·2 +à ¢Ã¢â€š ¬Ã‚ ¦+ ÃŽÂ ²k-1Ã…Â ·k + ÃŽÂ µ After examine the test, the means of the F-test is to determine whether ÃŽÂ ²1 through ÃŽÂ ²k-1 are zero. If the null hypothesis reveals that all regression coefficients are zero, means that the null hypothesis cannot be reject, the Ramsey test is unable to detect any misspecification. If the null hypothesis is rejected, means that the model is misspecification. 3.3.9 Jarque-Bera Test of Normality Jarque-Bera test of normality is used to test the normally distributed. It is large-sample or an asymptotic test and based on the OLS. The test first calculates the skewness and kurtosis measures of the OLS residuals. JB = n Where the n = sample size, S = skewness coefficient, and K = kurtosis coefficient. The normally distributed variable, S is zero and K is three. Hence, the Jarque-Bera test of normality is a test of the joint hypothesis that S and K are zero and three, respectively. Therefore, the value of the Jaque-Bera statistic is expected to be zero. For the null hypothesis the residual is normally distributed, asymptotically (i.e., in large samples) the Jarque-Bera statistic gives the chi-square distribution with two degree of freedom showed by Jarque and Bera (Gujarati 2003) For the alternative hypothesis the residual is not normally distributed. At 5 significant levels, computed p value is less than Jarque-Bera statistic, we can reject the null hypothesis that the residual is not normally distributed whereas computed p value is more than Jarque-Bera statistic, we do not reject the null hypothesis that the residual is normally distributed. CHAPTER 4: RESEARCH RESULTS AND INTERPRETATION 4.1 Introduction This chapter consists of the results and interpretation of the relationship between Unemployment as an Indicator of Macroeconomic Performance Unemployment as an Indicator of Macroeconomic Performance The rate of unemployment is one of the most important indicators of macroeconomic performance. Unemployment arises due to the distortions in the supply of labor cause by the non-competitive wage differential. During the period from 1945 until at least 1968, unemployment rates in the major European economies were extremely low by todays standards. For instance in the United Kingdom, the average rate of unemployment for the entire period was about 1.8% of the labor force and in worst years it did not even exceed 2.5%. The main driving force was autonomous rather than policy related. These forces include waves of new products and processes, spread of trade and development around the world. However the cause of unemployment problem in Europe in comparison to the United States was their labor market institutions while the United States is far more superior due to the flexibility of their labor market. In this paper, determinants of unemployment in US are the concerns with economic growth as the main concern. Economic growth of a nation is the increase in a nations real output that occurs over time. In general, growth and unemployment are closely related as unemployment affects the growth rate through the scale of operation of an economy. Besides that, FDI inflow and inflation are taken into account altogether to identify the relationship towards the unemployment rate. 1.1 Background As unemployment is one of the most important economic indicators, the unemployment rate provides useful information such as how the labor market works as well as the percentage of human capital that is not used in the production process, which is especially crucial towards policy makers. Consequently, it is important to analyze the factors that impact the unemployment rate regardless short or long term perspective. The United States of America is a developed country which has one of the largest population and production in the world (Encyclopedia, 2010). As unemployment are explained by structural factors mainly by inflexible labor market. One may wonder the about the impact which economic growth, inflation and FDI have on the unemployment rate of the United States of America as the clutches of unemployment are hard to escape even for a develop country, especially for US which possesses by far the most flexible labor market. As a case study, the United States of America has been chosen as the research country. United States of America is reckoned to be particularly appropriate as United States of America labor market has proven by all accounts to be more dynamic in the sense of a higher level of job turnover, resulting in high vacancy levels at any point in time. Recently, unemployment rate in the United States of America has been found to be as high as 9.6% as of August 2010 compared to the 4. 1% ten years ago (Bureau of Labor Statistics, 2010). In the mean time the real GDP growth in 2000 was at 4.14% when the unemployment rate was 4.1% while the real GDP growth in 2003 was at 2.49% when the unemployment rate was 5.8% (Bureau of Labor Statistics, 2010). From here, it can be seen that unemployment rate moves in the opposite direction of economic growth, yet there were different versions of results concluded by different previous researchers. 1.2 Problem Statement Unemployment has been a famous macroeconomic variable that researchers tend to use to study on but even with so many researches carried out, some of the results obtained are not consistent with one and another. For instance, the debates among Monetarist and Keynesian views of unemployment as well as the new contributions of Lucass approach and new Keynesian Economics shows that there was no reason to account for growth in the unemployment model. However, a significant innovation occurred with Pissarides'(1990) formulation of an unemployment theory in equilibrium. In many previous attempts, he formalize a unique framework to study the labor market dynamic perspective, providing useful tools to analyze both long and short run unemployment. Pissarides also introduced a first link between long run unemployment and growth which matches the neoclassical framework of economic growth. ( Pissarides, 1990 Ch. II) In the case of US, its economy began its current economic recovery in December 2001. However, rather than experiencing employment growth, not only did the unemployment rate increase but the number of new jobs created in the economy actually declined significantly during the first year of the recovery (Seyfried). Thus this paper is conducted so as to affirm the relationship of economic growth has on the unemployment rate of the country. As some results obtained by past researchers showed that economic growth impacts unemployment whereas the others came to a conclusion that unemployment causes economic growth whereby the existence of Granger Causality relationship is quite possible. In this study, economic growth, inflation and FDI serves as explanatory variable to determine the relationship towards unemployment rate in the United States of America. 1.3 Objectives This study aims to investigate the determinants of unemployment rate in the United States of America with economic growth as the main concern in addition with inflation and FDI (foreign direct investment) to further assure that it is coherent with the results obtained from previous studies. 1.3.1 Specific objectives This paper aims to examine the relationship between economic growth, inflation and FDI towards the unemployment rate. On the other hand, this paper serves to probe further into the relationship between economic growth, FDI, and inflation towards unemployment to sustain the existence of granger causality relationship. 1.4 Significance of study The contribution of carrying out this study is to allow policy makers to have an insight of unemployment so as to allow them to decide on suitable policy that will help bring down the unemployment rate while sustaining appropriate inflation level and attract sufficient FDI inflow. The results generated will help provide insight to the nature of the relationship between economic growth, inflation, and FDI towards unemployment. It would be useful to policy makers to know the rate and relationship of economic growth as it is necessary to reduce the unemployment rate, or at least keeping it from rising. Moreover, in previous studies, FDI is found to have impacted the unemployment rate indirectly through spillover effects from economic growth. In this study, however, FDI is incorporated directly to affect unemployment growth; therefore the effectiveness of the implemented policy will be taken into account more effectively. CHAPTER 2: Literature Review 2.1 Conceptual Model According to Alexopolous (2003), in the case where there is technological growth in the economy, families will increase their investment in capital, which in turn increase the amount of family purchased consumption workers receive over time. As a result, firms optimally increase the wage rate proportionately in order to prevent workers from shirking on the job. Therefore, the rate of unemployment along the balanced growth path will not change over time, since the marginal product of labour and the marginal cost of labour grow at the same rate. Based on De Groot, in general, growth and unemployment are intimately related for two reasons. Unemployment affects the scale of operation of the economy and thereby the growth rate. Growth affects inter-temporal decisions of workers about where to allocate on the labor market once they are laid off, and thereby it affects equilibrium unemployment. According to Brecher (2007), rapid economic growth and FDI, accompanied by higher per capita income, usually increase output growth. Thus, domestic firms and foreign multinational corporations will demand more labour force with skills to create products. Hence, economic growth can promote future employment growth for labour force based on new Keynesian theory of the output-inflation tradeoff. Some studies found that overseas investment replaced domestic employment in developing countries; however, the same result did not happen in developed countries. Tremblay (2007) pointed out that based on classical economic theory, the Phillips Curve illustrated long-run tradeoff between unemployment and inflation. There is an inverse relationship between inflation and unemployment, that is saying inflation will rise when unemployment decrease and vice-versa. Futhermore, Luciano Fanti and Piero Manfredi (2003) mention that the neoclassical Solow model, which still provides excellent econometric fits and shows a globally stable positive growth equilibrium, but also shows two restrictive features as regards the scope of this paper: (1) it does not take into account the stylized fact of the existence of unemployment, which is generally not only positive but also strongly fluctuating; (2) in such a model fluctuations have never been endogenously determined Meanwhile, Martin Zagler (2006) noticed that the cost associated with economic growth is structural unemployment, as structural change destroys jobs in one firm and creates jobs in another. The source of unemployment is the rate of intra-sector structural change associated with faster economic growth. Besides, Bonatti (2007) says that an increase of the workers influence on the political process may raise the fraction of GDP allocated to finance the welfare state, thus leading to a higher unemployment rate and to a lower growth rate. The research work done by Chang (2007) noticed that when the degree of trade openness of Taiwan is larger, the unemployment rate of Taiwan will increase, this is because the young men and young women in Taiwan desire to extend their education in working age. According to Phillips (1998), the negative relationship between inflation and unemployment can be explained through governments expansionary policy to increase the consumption level of the citizens. As labor market tightens, unemployment rate will fall as money wages tended to rise more rapidly. Unemployment will then increase as government tries to control the inflation rate. This is because the increment in wages is closely related with the increase in price. Therefore, the trade-off between these two variables can be seen. 2.2 Methodology Effects panel regression methods were used by Zagler (2006) on the relationship between economic growth and unemployment. Moreover, Zagler (2006) checked his estimated model with the unit-root test to test the stationary of the model. In order to obtain information about the relationship between inflation and unemployment, the procedure of den Hann was employed by Bae (2006), which has the advantage as no assumptions about the order of integration in the variables of interest is required. The procedure estimates a vector regressions (VAR) model and analyzes the correlations of VAR forecast errors of inflation and unemployment at long horizons. Chang (2007) used vector autoregression method of variance decomposition and impulse response function analysis are applied to analyze various relationships among foreign direct investment (FDI), economic growth, unemployment and degree of openness in Taiwan. Besides that, he also uses the unit root test of augmented Dickey-Fuller (ADF and KPSS) test to examine the stationary properties of the economic time series. The appropriate lag-length in the ADF regression is selected by minimizing the Akaikes information criterion (AIC). He also uses co-integration test to determine whether there exists a long-run equilibrium relationship among variables and weak exogeneity, and multivariate Granger-causality test to determine their causal direction in the short-run between all variables. Besides, he also has applied the VAR technique of variance decomposition and impulse response function analysis to analyze various inter-relationships between FDI, unemployment rate and GDP variables in the case of Taiwan from the period of 1981 to 2003. Meanwhile, Eric Heyer, FrÃÆ' ©dÃÆ' ©ric ReynÃÆ' ¨s, Henri Sterdyniak (2006) present the results of the DF-GLS unit root test to test the growth rate of consumer price and also unemployment rate. 2.3 Empirical Result Zagler (2006) has carried out a research which empirically investigated the link between economic growth and unemployment, using micro econometric evidence for the United Kingdom. The results generated showed a significant and negative relationship between unemployment and economic growth. According to the result generated by Muscatelli and Tirelli (2001), it is proven that there is a negative relationship between economic growth and unemployment as Japan, Germany, Italy, France and Canada. This result is generally in favour of those theories which predict a negative linkage between unemployment on economioc growth Besides, Pehkonen (2000) stated that a fall in GDP has significant relationship with unemployment as a drop in the GDP in Finland leads to an increase in the unemployment since demand for labor have shrunk. Therefore, Pehkonen (2000) concluded that unemployment would increase as a result of a decrease in economic growth. Meanwhile, Mitra and Sato (2007) found that the major links between external scale economies and growth are perceived in terms of technical efficiency, and higher growth is taken to reduce the unemployment rate. Futhermore, Scahaik and Groot (1998) found that the unemployment and economic growth relationship in imperfect competition economy and different periods, where structural changes occur, has a negative correlation and effect of different degrees through testing the structural stability. Chang (2007) proved that economic growth as well as FDI have negative effects on unemployment as FDI are expected to generate economic growth by encouraging the expansion of trade and foreign investment. In addition, according to Solows growth theory, employment for labour force with skill can further promote economic growth and this can be verified by Taiwans economy model. Okuns law stating that reducing unemployment for labour force can promote further economic growth is then verified. Furthermore, unemployment is very sensitive to changes in GDP and vice versa, which does lend support that rising economic growth can obviously affect unemployment for labour force. shock of unemployment rate has negative effect on economic growth . He also mentions that the shocks in economic growth and FDI inflow decrease the unemployment rate. This means that rapid economic growth and FDI inflow, accompanied by higher per capita income can promote future employment growth for labour force. In the research study of Meckl (2001), correlation between growth and unemployment is shown to be positive if the research sector is of the high-wage sector in the economy, and negative if the research sector is the low-wage sector. Arico (2003) has already observed that the rate of growth is negatively related with the rate of unemployment. If the growth rate increases, it will decrease the net rate at which the stream of profits is discounted. For each firm the entry will result less costly. More vacancies will be created, reducing the unemployment rate. (Capitalization effect).On the other hands, It will reduce the life-time of each firm, by increasing the price for human capital. Each innovation will generate fewer vacancies than before. That will be reflected in an increase of the rate of unemployment. (Indirect creative destruction effect). Besides, Fanti and Manfredi (2003) has shown a negative relation between unemployment and growth , though we should also mention the positive relation between unemployment and growth obtained in the particular creative disruption context according to Schumpeters idea. Fanti and Manfredi alsomshows a surprising relation between unemployment and growth (via effects on population which is an endogenous engine of growth): this relation can be either positive or negative depending on the relative levels of cost of childrearing of workers and unemployed persons and the level of unemployment benefits. Meanwhile, Bonatti (2007) noticed that reduction of government transfers in favor of the workers allows decreasing the ratio of total tax revenues to GDP, thus monotonically increasing the growth rate and leading to a lower unemployment rate. CHAPTER 3: RESEARCH METHOD 3.1 Data Analysis 3.1.1 Unemployment Rate In this study, unemployment rate is the main study which was examine by using some explanatory variables. According to BLS, Bureau of Labor Statistics, (2009) those people who are with jobs can be considered as employed. On the other hand, a person will be classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work. Dixon Shepherd (2002) stated that the unemployment rate can be considered as one of the most important indicators of macroeconomic performance in a country. The data of unemployment rate is obtained from the Bureau of Labor Statistics (BLS) which if measured in percentage from those people who are 16 years old and above from year 1970 to 2007. The method which BLS used to calculate the unemployment rate in United States is: X 100% 3.1.2 Real Gross Domestic Product Real gross domestic product (Real GDP) in a country can be measured by the total output value of goods and services which produced from the domestic labor in the country in a given year, expressed in base-year prices. In this study, it is expected that there is a negative relationship between the Real GDP and unemployment rate in United States. The source of the United States Real GDP data is from the World Bank World Development Indicators and International Financial Statistics of the IMF. On the other hand, the data obtained was converted to a 2005 base year. The formula to calculate the data of United States Real GDP is as below: 3.1.3 Foreign Direct Investment Foreign direct investment (FDI) is a kind of investment which is made to serve the business interest of the investor in a company which is in a different nation distinct from the investors country of origin. An example of FDI is a foreign company comes into a country to build or buy a factory and run a business there. Many economists believe that FDI is good for an economy, because it provides domestic job opportunities and increase domestic capital. In this study, net inflows of foreign direct investment in the measurement of current US Dollar are used. A net inflow of foreign direct investment is the total amount or value of the investment flow into United States from foreign investors to operate their business in United States and negative relationship between foreign direct investment and unemployment rate is expected in United States. 3.1.4 Consumer Price Index Consumer price index (CPI) is measured that examines the weighted average of prices of a basket of consumer goods and services in a country, such as transportation, food, rental fees and utilities fees. CPI is one of the measurements of inflation rate. According to Bureau of Labor Statistics (BLS), the prices for the goods and services used to calculate the CPI are collected in 87 urban areas in United States from about 23,000 retail and services establishments. The CPI data used in this study included all consumer items in United States from year 1970 to 2007. 3.2 Research Framework 3.2.1 Unemployment rate and Real Gross Domestic Product Based on the study, unemployment and real gross domestic product is expected to be negatively related. Edward (2007) stated there is a negative relationship between real gross domestic product and unemployment because of the theory of Okuns law. According to Okuns law, 1% increase in the unemployment rate will decrease GDP by 3%. However, Christopher (2010) said that, Okun coefficients can change over time because the relationship of unemployment to output growth depends on laws, technology, preferences, social customs, and demographics. 3.2.2 Unemployment and Consumer Price Index Consumer price index is one of the most frequently used statistics for identifying periods of inflation or deflation. This is because large rises in CPI during a short period of time typically denote periods of inflation. Therefore, we expect that there is an inverse relationship between the rate of unemployment and rate of inflation. According to the Phillips Curve theory, if the unemployment is high, inflation tends to be low. The diagram below shows the Phillips curve. Inflation Phillips curve Unemployment However, the result shows a positive relationship in our regression model. This problem will occur because of the multicolinearity problem in our regression model. But when one independent variable by one independent variable with the unemployment is tested, negative sign for consumer price index and unemployment are obtained. Bae (2006) stated that there is a positive long run relationship between unemployment and inflation. 3.2.3 Unemployment and Foreign Direct Investment In this study, inflow of foreign direct investment were expected to affect the unemployment rate significantly and expected that foreign direct investment has a negative long run relationship with unemployment. Foreign direct investment will increase job opportunities so, unemployment rate will decrease. Shu (2007) stated that FDI have negative effects on unemployment as FDI are expected to generate economic growth by encouraging the expansion of trade and foreign investment. 3.3 Econometric Methodology 3.3.1 Introduction This chapter consist the used of the method to examining the relationship between the unemployment and economic condition in United State by using the time series data ranging from the year 1970 to 2007. First, the result testing will start with the test of stationary by using Augmented Dickey-Fuller unit root test and proceed with the cointegration test. Secondly, the Multiple Regression Analysis and several ways to detect the assumption of the Classical Linear Regression Model (CLRM). The multicollinearity is used to test the correlation analysis. Breusch-Godfrey Serial Correlation LM Test is used to test the existence of serial autocorrelation, Autoregression Conditional Heteroscedasticity Test is used for testing the heteroscedasticity variance of error of the model and Ramsey RESET Test is used to detect the linearity regression and misspecification error. Unemployment = f (RGDP, FDI, CPI) RGDP = Real Gross Domestic Product FDI = Foreign Direct Investment CPI = Consumer Price Index The change in unemployment is our main study that we want to examine with using a few of variables which are RGDP (Real Gross Domestic Product), FDI (Foreign Direct Investment) and CPI (Consumer Price Index). y = ÃŽÂ ²0 + ÃŽÂ ²1Ln (RGDP) + ÃŽÂ ²2 (CPI) + ÃŽÂ ²3 (FDI) + Econometric Model with Expected Sign: = ÃŽÂ ²0 + ÃŽÂ ²1L (RGDP) + ÃŽÂ ²2 (CPI) + ÃŽÂ ²3(FDI) (-ve) (-ve) (-ve) Where +ve indicates that there is a postive relationship between the explanatory variable and dependent variable. On the other hand, -ve indicates that there is a negative relationship between the explanatory variable and dependent variable 3.3.2 Unit root A unit root test is used to examine whether a time series variable is stationary. In the model, T-statistic, F-statistic and R-squared are used to determine to ensure the validity of the test statistics is stationary. The result will become spurious regression problem if the non-stationary series in the ordinary least square (OLS) regression is used. Spurious regression result in high significant T-statistic and highly value for the coefficient of determination R-squared, and the R-square is larger than Durbin Watson. Therefore, if the stationary does not hold, estimate is not consistent and result will be misleading. To avoid the spurious regression problem, the Augmented Dickey-Fuller test (ADF) is used to examine the stationary of the variable. An Augmented Dickey-Fuller test (ADF) is used to test for a unit root in a time series sample. The Augmented Dickey-Fuller (ADF) statistic used in the test is a negative number. Therefore, the more negative value is, more power the rejection of the hypothesis that there is a unit root at some level of confidence. The equation for Augmented Dickey-Fuller (ADF) test Where ÃŽÂ ± is a constant, ÃŽÂ ² is the coefficient on a time trend and p is the lag order of the autoregressive process. ÃŽÂ ± = 0 and ÃŽÂ ² = 0 corresponds to modeling a random walk and ÃŽÂ ² = 0 corresponds to modeling a random walk drift. By including lags of the order p, the ADF formulation allows for higher-order autoregressive processes. This means that the lag length p needs to be determined when applying in the test. One possible approach is to test from high orders and examine the t-value on coefficients. The criterion such as the Akaike information criterion (AIC), Schwarz-Bayesian information criterion (SBIC) or the Hannan-Quinn information criterion (HQIC) test is used to examine the lag length. 3.3.3 Granger Causality The Granger Causality test indicates that a time series Y is said to be Granger caused by X if X helps the prediction of Y or equivalently if the coefficients on the lagged X are statistically significant. Granger Causality shows two-way causation in the case. X Granger causes Y and Y Granger causes X. It usually through a series of t-tests and F-tests on lagged values of X and lagged values of Y. 3.3.4 Multiple Regressions The ordinary least squares (OLS) or linear least squares are a method to examine the unknown parameters in a linear regression model. It is used to assume the distribance, ui. According to Gujarati (2003), ui stands for the normal distribution representing zero mean and constant variance, à Ã†â€™2 in the multiple regression models. With the normality assumption, OLS estimators 1, and 2 are linear functions of ui. Therefore, if ui are normally distributed, so 1,and 2 will make hypothesis testing more straightforward. OLS estimators of the partial regression coefficients are identical with the maximum likelihood (ML) estimators. There are the best linear unbiased estimators (BLUE). Besides, the least-square estimators are best unbiased estimators (BUE); it means that they have minimum variance in the entire class of unbiased estimators. 3.3.5 Multicollinearity Multicollinearity shows the two or more independent variables in a multiple regression model are highly linearly related. The multicollinearity test is perfect if the correlation between two independent variables is equal to 1 or -1. Multicollinearity will occur when there is a strong linear relationship among two or more independent variables. The equation below is refer the variables is perfectly multicollinear if there exist one or more exact linear relationships among some of the variables. Estimates for the parameters of the multiple regression equation is The ordinary least squares estimates include inverting the matrix XTX where, It indicate that if the linear relationship (perfect multicollinearity) is exactly with the independent variables, the rank of X is less than k+1 and the matrix XTX will not invertible. One of the detection of multicollinearity is used detection-tolerance or the variance inflation factor (VIF) for multicollinearity where R2j is the coefficient of determination of a regression of explanatory j on all the other explanators. Tolerances of less than 0.20 or 0.10 or a VIF of 5 or 10 and above reveal a multicollinearity problem. 3.3.6 Breusch-Godfrey Serial Correlation LM Test Breusch-Godfrey Serial Correlation LM test is a test of autocorrelation that is basically allows for nonstochastic regressors such as the lagged values of the regressand; higher-order autoregressive schemes such as AR (1), AR (2), etc and higher-order moving averages of white noise error terms such as t. Two variable regression models to illustrate the test, regressors can be added to the model and also lagged values of the regressand can be added to the model. Yt =ÃŽÂ ²1 +ÃŽÂ ²2Xt +ut The error term ut assume that the pth-order autoregressive, AR (p), Ut = ptut-1 + ptut-2 + à ¢Ã¢â€š ¬Ã‚ ¦+pput-p + t. where t.is a white noise error term. The null hypothesis H0 can be show as Ho: p1 = p2 = à ¢Ã¢â€š ¬Ã‚ ¦ = pp = 0 (no autocorrelation) At 5% significant level, if the computed p value of Chi-square is less than Chi-square tests, do not reject the null hypothesis, meaning that there is no autocorrelation problem. If computed p value of Chi-square is more than Chi-square tests, reject the null hypothesis, meaning that there is autocorrelation problem. 3.3.7 Autoregressive Conditional Heteroscedasticity Test In econometrics, Autoregressive Conditional Heteroskedasticity (ARCH) model assume that the variance of the current error term is related to the previos one. Autoregressive Conditional Heteroskedasticity model is used to model the time series with time-varying volatility such as stock price. 3.3.8 Specification error Ramsey Regression Equation Specification Error Test (Ramsey RESET test) is used to examine the specification error. The specification test for the linear regression model. More specifically, it is used to test the specification error in the equation. As the result, if the non-linear combinations of the independent variables have any power in explaining the dependent variable, means that the model is mis-specified. Consider the model Ã…Â · = E {y | à Ã¢â‚¬ ¡ } = ÃŽÂ ²Ãƒ Ã¢â‚¬ ¡ The Ramsey test is used to test whether the (ÃŽÂ ²1à Ã¢â‚¬ ¡)2, (ÃŽÂ ²2à Ã¢â‚¬ ¡)3à ¢Ã¢â€š ¬Ã‚ ¦,(ÃŽÂ ²k-1à Ã¢â‚¬ ¡)k has any power in explaining y. The Ramsey test is executed by calculate the following linear regression Ã…Â · = ÃŽÂ ²Ãƒ Ã¢â‚¬ ¡ + ÃŽÂ ²1Ã…Â ·2 +à ¢Ã¢â€š ¬Ã‚ ¦+ ÃŽÂ ²k-1Ã…Â ·k + ÃŽÂ µ After examine the test, the means of the F-test is to determine whether ÃŽÂ ²1 through ÃŽÂ ²k-1 are zero. If the null hypothesis reveals that all regression coefficients are zero, means that the null hypothesis cannot be reject, the Ramsey test is unable to detect any misspecification. If the null hypothesis is rejected, means that the model is misspecification. 3.3.9 Jarque-Bera Test of Normality Jarque-Bera test of normality is used to test the normally distributed. It is large-sample or an asymptotic test and based on the OLS. The test first calculates the skewness and kurtosis measures of the OLS residuals. JB = n Where the n = sample size, S = skewness coefficient, and K = kurtosis coefficient. The normally distributed variable, S is zero and K is three. Hence, the Jarque-Bera test of normality is a test of the joint hypothesis that S and K are zero and three, respectively. Therefore, the value of the Jaque-Bera statistic is expected to be zero. For the null hypothesis the residual is normally distributed, asymptotically (i.e., in large samples) the Jarque-Bera statistic gives the chi-square distribution with two degree of freedom showed by Jarque and Bera (Gujarati 2003) For the alternative hypothesis the residual is not normally distributed. At 5 significant levels, computed p value is less than Jarque-Bera statistic, we can reject the null hypothesis that the residual is not normally distributed whereas computed p value is more than Jarque-Bera statistic, we do not reject the null hypothesis that the residual is normally distributed. CHAPTER 4: RESEARCH RESULTS AND INTERPRETATION 4.1 Introduction This chapter consists of the results and interpretation of the relationship between

Industrial Revolution and Absolutism :: essays research papers

Section I, Question 2   Ã‚  Ã‚  Ã‚  Ã‚  In the early 17th century â€Å"absolutism† was not only thought of in the theological sense it was also a political catch word all through out Europe. England had a few rulers attempt to create an absolute monarchy. James I and Charles I both tried to have complete rule over the country without consulting Parliament. Parliament, which had a large portion of control, prevented these two rulers from successfully hindering their power. The citizens of England were very use to the combined rule of the king and Parliament. So they were not very eager or willing to release all the power to a single person. In Parliament an official could be changed if need be, and no one person could in charge of decision making. This is one of the main benefits to having a Parliamentary type of government. Toward the middle of the 17th century troubles between Charles I and Parliament sparked England’s civil war. This in turn created problems for future rulers with aspir ations about ruling without Parliament. England’s civil war was basically the death of royal absolutism; eventually Parliaments power grew to the point that it became the head body of government in England.   Ã‚  Ã‚  Ã‚  Ã‚  Royal absolutism failed horribly in England, this however was not the case in France. France did not have a power similar to Parliament to try and compete against the monarch for control. The citizens of France were also more willing to accept a single head of government. Most felt that having this strong leader would help protect them and keep the peace within their country.   Ã‚  Ã‚  Ã‚  Ã‚  So in conclusion it is clear to see that both systems of government have benefits and drawbacks. Parliament can help a country make better well rounded decisions and also keep a corrupt ruler in check. Absolutism, with the right leader, can help citizens feel more secure give the country a strong image. So in the end it comes down to what the people want and feel comfortable with. Section II, Question 3   Ã‚  Ã‚  Ã‚  Ã‚  The Industrial Revolution in its simplest form was the creation and use of power driven machinery in manufacturing. It began very subtly. There was a growing demand for agriculture and textiles and the current machinery was unable to keep up. One of the first advances in machinery was the use of water power. Mill owners created machines that could use the power of a flowing stream to enhance the speed of their textile machines.

Pride and Prejudice Essay: First Impressions -- Pride Prejudice Essays

First Impressions in Pride and Prejudice      Ã‚  Ã‚   First impressions are very important in Jane Austin's Pride and Prejudice. As the story develops, we discover how the prejudices and first impressions of each of the main characters change. The primary focus is on the character of Elizabeth Bennet.    Elizabeth's judgments about other characters' dispositions are accurate about half of the time.   While she is correct about Mr. Collins and how absurdly self-serving he is and about Lady Catherine de Bourgh and how proud and snobbish she is, her first impressions of Wickham and Darcy steer her incorrectly.   Wickham is first thought to be a gentleman by all.   His good looks and his easy manner fool almost everyone, and Elizabeth believes without question all that he tells her of Darcy. Elizabeth's first impressions of him are contradicted when she realizes that he has lied about Darcy.    Elizabeth and many of the other characters se... ... her married daughters with pride, and Elizabeth is said to be proud of Darcy because of what he had done for Lydia.   First impressions can be discussed of many of the other characters than those discussed here, and prejudice is illustrated not only in Elizabeth's behavior, but in Darcy's and Lady Catherine's reactions to the status of Elizabeth's family as well    Work Cited: Austen, Jane. Pride and Prejudice. 1813. Ed. Donald Gray. New York: Norton and Co., 1993.

Leibniz: Theory of Monads

Introduction Whether ultimately correct or not, Leibniz rejects both Cartesianism and atomism. What ought not be missed is that throughout his objections Leibniz's focus never strays far from the mereological issues of wholes, parts, their unity, etc. Indeed, the very nature of his arguments against the mechanist project clearly demonstrate Leibniz's underlying concern for the problem of the continuum, which seems never very far from his mind. (Thompson) In rejecting Cartesianism, Leibniz's concern is with its inability to make sense of the whole, except at the expense of the reality of the parts. In rejecting atomism, his concern is with its inability to make sense of the parts, except at the expense of the unity of the whole. Neither can provide illumination sufficient to escape from the second labyrinth, and the entire mechanist project therefore finds itself impaled effectively on both horns of a dilemma. Since the problem of the continuum has so much relevance to the unity of substance, Leibniz considers mechanist philosophy inadequate. (Brown) Remaining entirely in character, it should not be surprising that Leibniz's own metaphysics is most fundamentally an attempt to reconcile the mechanistic philosophy to that of Aristotle. He attempts to take the best of each of these two systems and synthesize a new theory that manages to escape their individual defects. (Thompson)   Monads are the unit of substance which supposedly bridge the gap between the old and the new, and plug the holes in mechanist theories. Thus, it is with this in mind that his argument for the existence of monads must be examined, for it is the very heart of Leibniz's theory of substance. At the core of Leibniz's metaphysics one finds monads, which are dimensionless and â€Å"windowless† centers of force, the true substances that comprise the created universe. Infinite hierarchies of monads populate the continuum of all created things, each one mirroring the rest of the universe from its own unique point of view, expressing every other monad with a greater or lesser degree of clarity. Monads are the â€Å"metaphysical points†, so to speak, which are the indivisible, unified, and simple substances that are the foundation of the created world. (Mercer) Distinguishing Features of Leibniz's Ontology There are two particularly significant distinguishing features of Leibniz's ontology as a whole. In brief, Leibniz's ontology remains as true to his desire to be the great reconciler as it does to his expectations for substance, epistemology, and the problem of the continuum. This ought not be forgotten amidst the details that follow. Monads are a Synthesis of Old and New It is not surprising, in light of Leibniz's reconciliatory nature, that monads bear hallmarks of both Aristotelian and mechanistic philosophy. In terms of the former, they do the work of substantial forms, possessing an entelechy which guarantees that they unfold through time as they ought. In terms of the latter, they do the work of atoms, explaining how features in the phenomenal world (i.e., the macro-level world) come about as a result of changes of state in the real world of monads (i.e., the micro-level world). The monad is, by its very definition, designed to leverage the strengths of the two opposing theories, while simultaneously inheriting none of their defects. (Mercer) From this it is clear that Leibniz's theory of substance is determined by his expectations, and by the perceived failures of mechanism. In assembling it, Leibniz borrows liberally from what he considers the best features of the old and the new. Regarding those aspects in which Leibniz finds either of them inadequate, he crafts his own philosophy so that it avoids said inadequacies, essentially by definition. Qualitative, not Quantitative What is arguably most interesting and quite unique about this synthesis of systems is the shift in focus. To elucidate, Leibniz sees the mechanist philosophy as a fundamentally quantitative and extensive endeavor. The Cartesian defines the very essence of body as extension, which is quantitative in its extensive nature. Similarly, the atomist cannot help but construct the macro-level world by aggregation, through the grouping of many extended entities in the micro-level world, which is also quantitative by nature. Both variants of mechanism therefore sustain a quantitative and extensive view of the relationships between wholes and parts, explaining or reducing qualitative features of the macro-level world in light of or to quantitative features of the micro-level world. (Mercer) Given the problems he finds with quantitative theories, Leibniz concludes that that the correct theory must instead be uniquely qualitative and intensive, rather than quantitative and extensive, and this unique notion is given flesh along very Aristotelian lines. Latta (1965) provides the following apt description: Accordingly, the essence of Leibniz's argument is that a quantitative conception of the relation of whole and parts affords an inadequate theory of substance. The common element in the contrary positions of the Cartesians and the Atomists is the explicit or implicit reduction of qualitative to quantitative differences. And it appears to Leibniz that the solution of the dilemma is to be found in the opposite hypothesis, namely, that the essence of substance is non-quantitative, and that the relation of whole and parts must be conceived as intensive rather than extensive. Thus a ‘simple substance' has no parts, i.e. no quantitative elements, and yet it must comprehend a manifold in unity; that is to say, it must be real, it must be something, it must be qualitative, specifically determined. (p. 27). The suggested intensive view of the relations between parts and wholes is noteworthy for its novelty if nothing else. What Leibniz seems to have in mind is that the parts of a whole somehow â€Å"participate† in that whole, and similarly that the whole somehow â€Å"participates† in all of its parts. The nature of this participation isn't entirely clear, but it is certain that the conception Leibniz holds is not the traditional understanding of the part-whole relation. There is something deeper at work here, some understanding that is intended to allow both the parts and the whole to remain distinct and unified, the parts in themselves and the whole through its special relationship to the parts. (Thompson) What Leibniz seeks is some sense in which the whole somehow mirrors or expresses all of its parts, containing within itself the explanation for why the parts are precisely as they are. And similarly, the parts must somehow mirror or express the larger whole as well, containing within themselves their explanations, while also mirroring the explanation of the whole, albeit with a lesser degree of clarity. The important degree of mutual inter-participation is what is key to the more organic or holistic relationship Leibniz intends. (Swoyer) Despite the present vagueness, however, this much remains clear: Leibniz believes that the part-whole relation in genuine unities must be something far more special than other philosophical systems have taken it to be. Leibniz's use of monads is therefore intended not only to reconcile Aristotle with the mechanists, but also to lay the groundwork necessary to make such a special relationship logically possible and plausible. (Thompson) The Argument From â€Å"The Monadology† In the first few sentences of â€Å"The Monadology†, Leibniz gives one formulation of his argument for the existence of monads, a formulation which might be described most charitably as terse. Though this is not the only argument Leibniz gives for monads, it is probably the most well known. As early as 1671, for example, Leibniz argues for monads qua indivisible unextended things, though in a much different fashion involving the proper beginnings of extended entities. (1969, p. 139-140) Because his earlier argument is even more terse than the later argument it shall not be discussed any further. It is worth mentioning only because its similarities mark it as a clear precursor for Leibniz's later thinking on the subject. Further, Leibniz claims elsewhere that the existence of monads may be inferred from his doctrine of the pre-established harmony, though his reasons for this remain obscure. (1985, p.80) Returning to the better known argument of â€Å"The Monadology†, while it would be unreasonable to fault Leibniz for his brevity in making the argument, it is nevertheless the case that much remains to be said before the argument can be accepted, rejected, or even understood adequately. Because the monad is at the very heart of Leibniz's metaphysics, one might reasonably expect a more complete formulation of his argument to be possible, just as one might expect Leibniz's critics to focus their attacks upon that argument if monads qua simple substances are to be rejected. For the purposes of this essay, it is necessary to understand this argument and the issues underlying it in order to make clear precisely how Leibniz takes the monad to be united and simple. The following is Leibniz's argument for the existence of monads as given in â€Å"The Monadology†: The Monad, of which we shall here speak, is nothing but a simple substance, which enters into compounds. By ‘simple' is meant ‘without parts.' 2.  Ã‚   And there must be simple substances, since there are compounds; for a compound is nothing but a collection or aggregatum of simple things. (1989, p.213) Common Sense Observations Relevant Observations For Leibniz, the observations relevant to a theory of substance are those of entities in the world. As established already, Leibniz simply looks at the world and takes inventory of what he sees. Among the entities perceived he finds what might be called â€Å"macro entities† of a relatively mundane variety such as tables, chairs, rocks, streams, etc., as well as perhaps not so mundane macro entities such as plants, animals and persons. With the aid of the microscope, one may similarly perceive â€Å"micro entities† both mundane (e.g., crystals) and not so mundane (e.g., unicellular organisms). Further, with the aid of a telescope, one may perceive entities at the large end of the macro scale, if not, in fact, objects of an altogether different order of size. (Mercer) There are two primary points of interest as regards this body of observations. The first is that each entity, because it has extension, is divisible into parts. The second is that despite this divisibility into parts, the entities in question are more or less unities in some sense; i.e., each entity is numerically one, and it is what it is rather than something else. To put these two points a bit differently, this body of observations indicates that for all such objects there seems to be a unified whole, just as there seems also to be discernable parts, which are similarly real and unified. A third less interesting but important point is that in each case one seems to find entities at every scale. No matter how high one turns up the telescope or the microscope, one never reaches the end of things. Wherever one looks, one finds worlds within worlds. Existing Theories This body of observations requires explanation. More to the point, Leibniz takes this body of observations to require an explanation in terms of some sort of substance. In virtue of what is it the case that some particular entity is a whole? In virtue of what is it the case that the parts of that entity are themselves both unified and real? Further, what relations are sustained between the wholes and their parts? And finally, what conclusions may be drawn more generally once answers to these questions have been established? These are the sorts of questions Leibniz has in mind when considering existing theories. A successful theory must address them adequately without falling into either internal conceptual contradiction or external contradiction. That is, the theory must cohere with the present body of observations, just as its predictions (if any may be made) must also cohere with both present and future observations. (Thompson) In terms of evaluating mechanist theories, there are only two that Leibniz takes as plausible candidates, Cartesianism and atomism. As established already, Leibniz considers both of these views to be inadequate for explaining the body of observations under consideration. Having already examined Leibniz's reasons for rejecting these systems in some detail we may move directly to the next step, which involves synthesizing a new theory that avoids the inadequacies of mechanism while embracing its strengths. A Novel Theory of Substance If both ends of the spectrum of mechanist philosophy are unacceptable, then why not head for the middle? Leibniz is convinced of unities in the world because of a wealth of observations, and he believes both the Cartesians and the atomists to be unable to explain such unities with their theories. (Thompson, p. 24-6) What is needed according to Leibniz is a theory whose fundamental unit of substance is both real and indivisible. It must be real for the obvious reason that it simply will not do to explain what does exist by appeal to what does not, and it must be indivisible in such a fashion that it may explain the genuine unity of the observed entities in the world. Further, it must provide a qualitative and intensive, rather than quantitative and extensive, construal of the part-whole relation, as previously discussed. Leibniz concludes, therefore, that what is needed is a new, basic unit of substance:  Ã¢â‚¬ ¦physical points are indivisible only in appearance; mathematical points are exact, but they are merely modalities. Only metaphysical points or points of substance (constituted by forms or souls) are exact and real, and without them there would be nothing real, since without true unities there would be no multitude. (1989, 142) This conclusion, which lays the foundation for the development of the remainder of Leibniz's metaphysics, owes its support to the two factors given earlier as motivations. Most central to it is the fundamental assumption that monadic unity is necessary â€Å"at bottom† for the production of all compound things. In light of this, it is possible to summarize the more complete formulation of Leibniz's argument for monads as follows: P1  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Common sense observations show that real, unified entities exist. P2  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   What is real may be explained only by appeal to something real. P3  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   What is unified may be explained only by appeal to something indivisible. C  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Therefore, the explanation for such entities in the world must involve real and indivisible substances, namely, monads. This bears little relation, prima facie, to the less detailed argument given in the first two sections of â€Å"The Monadology†, but it is nevertheless reducible to that argument. P1 amounts to nothing more than the initial premise that compounds exist. P2 and P3 do not appear at all in â€Å"The Monadology†, but it is tolerably clear from the preceding discussion that these principles are indeed assumed by Leibniz. Finally, the conclusion is just a restatement of the conclusion that monads exist. Again, to restate the argument more succinctly: compounds exist, therefore simples exist. The remainder of Leibniz's metaphysical deductions in â€Å"The Monadology† follow from this more complete formulation at least as well as they follow the abbreviated version. Because monads must be both real and indivisible, Leibniz may argue that they can have neither extension nor form and must therefore be immaterial. Because they cannot be divided, Leibniz may still maintain that they cannot go out of existence in any natural way, by the dissolution of parts. Similarly, they cannot come into existence in any natural way, by the aggregation of parts, and so forth. Thus, this more complete formulation of the argument acts as a â€Å"drop in replacement† for its far more concise sibling. Conclusion To summarize, Leibniz's argument for monads is an enthymeme, an argument with an implied premise. Examining the logical derivation suggests a line of thought that Leibniz's other writings explicitly affirm, namely, that there is no reality without unity. With this additional premise in hand, the argument for monads is rendered formally valid. What's more, this additional premise provides a starting point for untangling the issues previously suggested as problems for monadic simplicity. The close tie between reality and unity prompts one to consider what Leibniz means by ‘simple' in a different light. It seems that what he intends in his argument for monads is not merely that they have no parts, but rather that they also include a kind of indivisibility, an inability to be divided in any way that destroys them. If there is no reality without unity, then things that are fatally separable and thus not unified are not intrinsically real. The relation between reality and unity helps suggest the fatal inseparability criterion for simplicity. Further, it also seems that mereological simplicity and fatal inseparability are but negative entailments of a more positive construal of simplicity, namely, ontological simplicity. A thing is ontologically simple if it stands alone, or described negatively if it is self sufficient in the sense that it bears no internal relations of ontological dependence to any other thing. Such an understanding of simplicity resolves the problems raised previously for the mereological construal, helps to make sense of Leibniz's argument for monads, and coheres nicely with the various other texts in which Leibniz uses the term. References Brown, Stuart. The Young Leibniz and His Philosophy. Dordrecht: Kluwer AcademicPublishers, 1999. Leibniz, Gottfried Wilhelm. (1969) Philosophical Papers and Letters, 2d ed. Translated and edited by Leroy E. Loemker. Boston: D. Reidel Publishing Company, Leibniz, Gottfried Wilhelm. (1985) Theodicy. Translated by E. M. Huggard, edited by Austin Farrer. Open Court Publishing Company. Leibniz, Gottfried Wilhelm. (1965) The Monadology and other Philosophical Writings. Translated and edited by Robert Latta. London: Oxford University Press. Leibniz, Gottfried Wilhelm. (1989) Philosophical Essays. Translated and edited by Roger Ariew and Daniel Garber. Indianapolis: Hackett Publishing Company. Mercer, Christia. Leibniz's Metaphysics. Cambridge: Cambridge University Press, 2001. Swoyer, Chris. (1995) Leibnizian Expression. Journal of the History of Philosophy 33 (1), 65-99. Thompson, Garrett. On Leibniz. Belmont: Wadsworth Publishing Company, 2001.