Empirical Appraisal of Poverty-Unemployment Relationship in Nigeria

OKORIE, George Chisom and ANOWOR, OLUCHUKWU F (2017) Empirical Appraisal of Poverty-Unemployment Relationship in Nigeria. International Journal of Economics and Financial Research, 3 (6). pp. 91-97. ISSN 2413-8533

[img] Text
Empirical Appraisal of Poverty-Unemployment Relationship in Nigeria.pdf
Download (648kB)

Abstract

The relationship between unemployment and poverty has been of interest to many a scholar with interest in development economics and social sciences. This paper is an addition to the empirical attempts to re-examine the relationship between unemployment rate and poverty incidence in Nigeria using secondary data sourced from relevant institutions to obtain major Social and Economic indicators spanning within 1980-2015. The study used Trend graph analysis, Correlation coefficient analysis and Granger causality tests in its analyses. As shown from the results, there is a positive-significant correlation between unemployment and poverty in Nigeria. More so, this was corroborated by the Trend graph analysis. It also established that unemployment granger causes poverty in Nigeria as suggests from the Granger causality tests. The economic implication of this result is that poverty is an increasing function of unemployment; and the Error Correction Mechanism (ECM) pointed that short run disequilibrium in the economy can be returned to equilibrium in the long run with a poor speed of adjustment of 6 %. In the light of these findings, this study recommends that efforts should be intensified in Nigeria towards implementation of unemployment reduction policies as this will significantly reduce poverty incidence.

Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HB Economic Theory
Divisions: Faculty of Management and Social Sciences
Depositing User: mrs chioma hannah
Date Deposited: 24 Apr 2019 14:25
Last Modified: 24 Apr 2019 14:25
URI: http://eprints.gouni.edu.ng/id/eprint/1246

Actions (login required)

View Item View Item
GOUNI Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.