Impact of Inflation and Economic Growth on Unemployment in Sri Lanka: A Study of Time Series Analysis

Authors

  • A.Thayaparan

Keywords:

rate of unemployment, gross domestic product, inflation, granger causality test, economic growth

Abstract

Abstract This paper examines the effect of inflation and economic growth on unemployment in Sri Lanka for the period 1990-2012. To achieve this objective, secondary data has been taken from Central Bank annual reports for the above period. To test unit root or stationary, Augmented Dickey Fuller Test was used. In addition to that, ordinary least square technique and to determine the causality among the above variables Granger Causality test also were applied. Results of the unit root test indicate that only Gross Domestic Product (GDP) has stationary and unemployment and inflation have unit root problem or non- stationary at level. But when these two variables are tested at first difference then the problem of unit root has disappeared and hence they have become stationary at first difference. Regression results revealed that the coefficient of inflation is negative and statistically significant influence on unemployment whereas gross domestic product is positive but it has no significant effect on unemployment. Finally the study concludes that only inflation significantly reduces unemployment and gross domestic product positively but insignificantly influences on unemployment. Causality results proved that there is only a unidirectional causality between inflation and unemployment but there is bidirectional causality between unemployment -gross domestic product and inflation- gross domestic product in Sri Lanka.

How to Cite

A.Thayaparan. (2014). Impact of Inflation and Economic Growth on Unemployment in Sri Lanka: A Study of Time Series Analysis. Global Journal of Management and Business Research, 14(B5), 45–53. Retrieved from https://journalofbusiness.org/index.php/GJMBR/article/view/1346

Impact of Inflation and Economic Growth on Unemployment in Sri Lanka:  A Study of Time Series Analysis

Published

2014-03-15