UNEMPLOYMENT BEHAVIOUR IN THE COVID-19 PANDEMIC: EVIDENCE FROM DEVELOPING COUNTRIES

This paper explores the impacts of COVID-19 pandemic, corruption and other determinants on unemployment in developing countries using panel dataset for 89 from January to December 2020. The proposed model is estimated utilising a newly formulated conceptual framework examine whether corruption, human capital, play moderating role determination our selected countries. dynamic system generalised method moments (GMM) estimator. Apart output, inflation results show that pandemic are major variables explaining rate sampled Furthermore, more notably, we find evidence appear significantly restrain alter outputs capital impacting unemployment. Therefore, detrimental effects economies labour markets examined should not be under-estimated. Additionally, findings that, while policy initiatives combat critical, strengthening anti-corruption regulations would further improve efficiency any attempt reduce rates associated with period.