Unemployment – Corruption Relationship in OECD Countries: System GMM Approach

Corruption, abuse of public office for private gain, is mainly found to impact macroeconomic indicators adversely in the long run. In this vein, this paper investigates the impact of corruption on unemployment in Organization of Economic Cooperation and Development (OECD) countries between 1996-2020. Utilizing World Governance Indicators (WGI) corruption data and implementing the system generalized method of moments (GMM) methodology to overcome endogeneity and reverse causality issues, the results indicate that corruption increases unemployment in all models when various variables are controlled for. The robustness checks with alternative econometric estimations (i.e., difference GMM, fixed effect, and ordinary least squares (OLS) regressions) and corruption index (i.e., Corruption Perception Index (CPI)) verify the conclusion of system GMM that higher corruption leads to higher unemployment. However, the magnitude depends on the model and specification. The results reveal that specific policies should be implemented to eliminate corruption in political and bureaucratic spheres so that the unemployment rate can be maintained around the natural rate of each country.