1 Centre for Research in Integration, Education, Qualifications and Marginalization (CIM), Aarhus School of Business, Aarhus BSS, Aarhus University2 Department of Economics, Aarhus School of Business, Aarhus BSS, Aarhus University3 unknown
We investigate the determinants of wages in Zambia and based on the quantile regression approach, we analyze how their effects differ at different points in the wage distribution and over time. We use three cross-sections of Zambian household data from the early nineties, which was a period of economic transition, because items as privatization and deregulation were on the political agenda. The focus is placed on the public-private sector wage gap, and the results show that this gap was relatively favorable for the low-skilled and less favorable for the high-skilled. This picture was further strengthened during the period 1991-1996.
Economic Applications of Quantile Regressions, 2001
Zambia; Quantile regression; Public private wage gap