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Fiscal Policy and Unemployment Rate in Nigeria: An Empirical Investigation

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  • Chukwuemeka Nwamuo, Ph.D

    (Department of Economics, Rhema University, Aba, Nigeria)

Abstract

The study investigated the impact of fiscal policy on unemployment rate in Nigeria. Time series data spanning from 1991 to 2020 which were sourced from the Central Bank of Nigeria (CBN) statistical bulletin and the World Development Indicators (WDI). The ARDL bounds testing approach to co-integration was used to analyse the data. Autoregressive Distributed Lag (ARDL) model and Error Correction Model (ECM) were utilized to address the main objectives of the study. The estimated short run coefficient result revealed that total public debt, total public expenditure and non-oil revenue all have a positive and significant impact on unemployment rate The speed of adjustment for correcting disequilibrium from the previous year to equilibrium in current year is 14.92 percent as shown by the coefficient of ECM. The long run result of the study showed that there is a positive and significant impact between total expenditure (TEXP) and unemployment rate in Nigeria but a negative and significant impact between non-oil revenue (NOR) and unemployment rate in Nigeria. The long run result showed that there is no relationship between total public debt (TDBT) and unemployment rate in Nigeria while the short run result showed that total public expenditure has a positive and significant impact on unemployment rate while non-oil revenue has a negative and significant impact on unemployment rate in Nigeria. Based on these findings, the study recommends proper management of government expenditure by ensuring that capital expenditures are channeled towards productive sectors and ensure that there is transparency in the management of such fund.

Suggested Citation

  • Chukwuemeka Nwamuo, Ph.D, 2022. "Fiscal Policy and Unemployment Rate in Nigeria: An Empirical Investigation," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(7), pages 732-738, July.
  • Handle: RePEc:bcp:journl:v:6:y:2022:i:7:p:732-738
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