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|Title:||The impact of unemployment and interest rate on inflation in Sri Lanka|
Mustafa, A. M. M.
|Citation:||Journal of Management, 14(2); 1-12.|
|Abstract:||Three major economic indicators such as Inflation, unemployment and interest rate have an important role in an economy in terms of sustainable development. The long-term progress of the Sri Lankan economy is destabilized. The linkage or the impact among these variables is very important for developing country such as Sri Lanka to overcome the destabilized hurdles. The study intends to investigate the impact of unemployment and interest rate on inflation in Sri Lanka. Also, this study was analyzed the short and long run relationship among the variables. Phillip’s relationship between the variables inflation and unemployment also was discussed in details. Fifty-three years of annual data for period of 1953- 2015 of the variables inflation, unemployment, interest rate, money supply (M2) and government expenditure used for the analysis. Parametric and non-parametric approaches have been employed in this study. The Autoregressive Distributed Lag (ARDL) model with co-integration technique has been employed to find the short and long run relationship of the variable. The statistical package EViews 9 and Microsoft excel were used for the analysis. The study reveals that unemployment is negatively impact on inflation in short and long run in Sri Lanka, which is statistically significance. Further, the study revealed that the Phillip’s relationship between inflation and unemployment exist in Sri Lankan economy. The interest rate is also negatively impact on inflation in short run and positively impact in long run. Results are statistically significance at 5% confidence level and theoretically expected. This study recommends that the relationship between the variables should be noted and utilized the Engine of growth concept in order to achieve sustainable development of Sri Lanka. Job opportunities to be extended further more. Further, the study suggests that using quarterly data to analysis this kind of time series will reflect relationship accurate.|
|Appears in Collections:||Volume 14 Issue 2|
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