Unemployment and Its Determinants:A Study of Pakistan Economy (1999-2010)

This study has been conducted to determine the determinants which cause the unemployment in economy of Pakistan for the period of 1999-2010. Unemployment is political and social issue in all the countries. In this foreign direct investment, gross domestic product rate, CPI based inflation rate and population growth rate is taken as explanatory variables. In this study ordinary least square model is used for determining the results. Findings of this paper shows that foreign direct investment, gross domestic product rate and CPI based inflation rate has negative impact on unemployment. Population growth rate has positive relationship with unemployment and it contributes to unemployment. This study also confirmed the tradeoff between inflation and unemployment.

offers. Unemployment gave rise to crime, suicides and also the poverty rates. Unemployment affects workers, their families and even the country because no job means:no income at individual level as well as national level. Some researchers used the information contained in nationally representative survey to analyze unemployment duration in Russia during early years of transitions (Foley, 1997). The findings of these researches indicate that married women were found to experience longer unemployment compared to their males. The findings also showed that older individual expected to be longer unemployed than that of younger individuals. Lipsey,et.al.(1997) argued that rivalry for markets was the one of the main reasons for a positive relationship between foreign direct investment and the domestic employment opportunities. Elmeskov,et.al.(1998) focused on the relationship between unemployment and taxation in OCED countries for the period of [1983][1984][1985][1986][1987][1988][1989][1990][1991][1992][1993][1994]. In this study the researcher used Hausman specification test and concluded that taxation has positive and exogenous impact on unemployment in short as well as long run. Findings showed that in long run, taxation as the major determinants of unemployment. Kingdon,et.al. (2001) studied the unemployment in South Africa by using theProbit model. In this study two national household surveys for the mid-1990s were used. The findings of this study indicated that unemployment in South Africa is determined by race, age, home, ownership and location. Izraeli and Murphy (2003) studied influence of degree of industrial diversification on unemployment rates and per capita income in seventeen states. The finding of this study showed that a state with more diversified base has lower unemployment rate. But the evidence on the relationship between per capita income and industrial diversification remained inconclusive. Kupets(2005) studied the determinants of unemployment in Ukraine between 1997-2003. In this study Ukrainian Longitudinal Monitoring Survey 2003 was used to investigate an individual conditional probability about leaving unemployed to employ. Chang (2006) studied the relationship between the economic growth, trade, unemployment and foreign direct investment in Taiwan. He applied VAR method of variance decomposition and also used impulse response function analysis. Findings showed that export and economic growth positively affected FDI inflow but export expansion was affected negatively onn FDI out flow. Study also determined that there were no relationship between FDI and unemployment. Negative relationship between economic growth and unemployment was confirmed and obvious. Bhorat(2007) studied number of social choice and labor economic theories and also identified variables that can determined the chance of somebody to be employed or not. Marika,et.al. (2007)studied the labor market to find the relationship between capital stock and unemployment. In this, researchers used indirect channels of transmission of capital stock for estimation of single equation unemployment model. Interest rates and investment ratios were used as major variables. They found that capital stock is key determinant of unemployment. Wright,et.al.(2009) analyzed the long term relationship between interest rates money supply and unemployment. They findings showed that these variables were positively related but at low frequencies. They also provided a unified theory for analysis of labor and goods markets. Akhtar,et.al.(2009) used comprehensive approach to unemployment by using VAR. Their main interest was in determining the interrelationship between Foreign Direct Investment, Export, Gross Domestic product and unemployment in Turkey. They used 2000-2007 period data. Their findings showed that foreign direct investment did not reduce unemployment in Turkey. Gross domestic product is positively affected by variations in exports but it is insignificant. They found no evidence that export led to growth in Turkey. Iqbal,et.al(2010)investigated the relationship between growth and unemployment for the period of 1972-2006. Researcher argued that GDP growth was the major source to minimize unemployment. They used ADF test. Their findings showed that for reducing unemployment there is need to accelerate growth. Sustained growth is key requirement for reducing unemployment.  Vol.5, No.13, 2014 Variables Description Population growth means the average annual percentage change in population, resulting from surplus or deficit of births over deaths and balance of migrants entering and leaving a country (United & Population Division, 2010). Foreign direct investments mean investments directly into production in a country. In this paper the data of FDI was in dollar million.Gross domestic product growth rate is on annual basis and it is adjusted for inflation and expressed as percent.Inflation rate is also in percentage on annual basis.Unemployment rate is percent of labor force that is without jobs. Hypothesis H1: Population growth is negatively related with unemployment. H2: Foreign direct investment is negatively related with unemployment. H3: Gross domestic product is negatively related with unemployment. H4: Inflation and unemployment are negatively related with each other.

Research Methodology
It is well established from literature that unemployment has significant impact on foreign direct investment, population growth, gross domestic product and inflation rate.In this study we examined whether variation in unemployment is associated with foreign direct investment, population growth, gross domestic product and inflation rate.

Secondary Data
Secondary data refer to information thatis collected by individuals, agencies and institutions other than by the researcher Welman et.al.(2005). Secondary data is data which is collected for previous projects other than current project. In this paper the sample were consisted of 12 years of data from 1999-2010. Data on each issue was taken from different economic survey of Pakistan. Some data is taken from IFS. E-view 6 was used for empirical work.Unemployment rate, inflation rate, population growth rate, foreign direct investment and gross domestic productgrowth rate were taken as variables.

Model Specification
The simple linear regression model was used in the study is given below: Y = βº + βF + ℧ In above equation Y is the presenting the unemployment rate and it is dependent variable. It is constant. β is the coefficient of independent variables. ℧ , is the error term and it is assumed to have zero mean and independent across time period. By adopting the above model, the equation for this paper evolves: Unemployment Rate = βº + β₁PG + β₂FDI + β₃INR + β₄GDP + ℧ In this equation the PG means population growth, FDI means foreign direct investment, INR means inflation rate and GDP means the gross domestic product. There were few studies by taking population growth, foreign direct investment and inflation rate (Chang, 2006;khan,et.al. 2009;Ozturk & Akhtar, 2009). GDP growth rate was included in addition and data was from 2000-2010 for authenticating results. FDI was in millions of dollars and rest of variables was measured in growth or percentage change.

Empirical Results
The table 1 showed that FDI has inversely relationship with unemployment. And this relationship is significant. As the FDI inflows increases in a country then unemployment reduces because FDI provides new opportunities and thus helping in reducing the unemployment. The t-test is used for supporting null hypothesis and it shows that null hypothesis should reject because value of t-test is greater than 2. These results are consistent with previous studies Khan,et.al(2010;Walterskirchen, 2008). GDP has negative relationship with unemployment and this relationship is significant because the probability is less than 5 %. The t-stats show that null hypotheses should reject because the value of t is greater than 2. According to Okun's Law higher the GDP lower the unemployment. These findings are supported by previous literature (M. Rafiq, et al., 2010;Rizvi & Nishat, 2009;Iqbal,et.al.2010;Walterskirchen, 2008). Table shows that inflation and unemployment are inversely related with each other. T stats show that we should reject the null hypothesis. It means if inflation increases the unemployment decreases. There is significant negative relationship between inflation and unemployment(M. Rafiq, et al., 2010). These findings are supported by Phillip (1958). According to Phillips curve (1958) there is inverse relationship between inflation and unemployment. There are tradeoff between inflation and unemployment in short run. But in long run this tradeoff has not been observed. Empirical findings showed that population growth has significant positive relationship with unemployment. If population growth rate increases then the unemployment also increases. In previous studies many researches showed that high level of population growth erode the economy. And has negative impact on macroeconomic variables (Kalim, 2003;M.Rafiq, et al., 2010). Findings of this study show that Pakistani population is growing annually by 1.8 %, which is very high. This high rate of population is key determinants of unemployment.
The value of R-square is 0.86 which indicate very well fit to data. It means that 86% change in dependent variable is due to these explanatory variables i.e. foreign direct investment, gross domestic product, population growth and Inflation rate. Rest of change is due to other variables which are unexplained. The value of Durbin Watson stats shows that there is perhaps minimum auto correlation between the variables because value is near 2. The probability in f stats shows that the model is significant and related to our study.

5.Conclusions and Recommendations
Unemployment is one of the common issues in all over the world. It is becoming a major problem for less developed and also for developed countries. It is very consistent problem and for many countries it remains difficult to manage. Unemployment can be analyzed by different dimensions. But this paper focuses on the determinants of unemployment. Results of this paper showed that H1 is rejected and H2, H3 and H4 are accepted.Paper showed that foreign direct investment, inflation rate, and gross domestic product have negative relationship with unemployment. Population growth has positive relationship with unemployment and it contributes to unemployment. According to findings of this paper population growth is the key determinants of unemployment. In this paper the tradeoff between the inflation and unemployment in Pakistan economy is also observed. But there is need to do more research to check whether this tradeoff is short run or long run. It is recommended that government should focus on foreign direct investments. Government should adopt policies for attracting foreign investors to come and invest. Government should also control the inflation rates for controlling the unemployment. Policy makers should know that which rate of Gross domestic product can benefited in bringing down unemployment. Government should apply policies to control population growth rate.

Future Research
More variables can be added i.e. exports, labor market policies, capital stock etc. The data can be increased for getting more authenticated research. This research can be done in other countries.