dc.description.abstract | An aspect of gender wage gap that is often neglected is the wage differentials
between the public sector and the private sector. Cognizant of the fact that the
Kenyan labour market is segregated into public and private sectors, entry into
the labour market therefore differ significantly by gender and so is the wage.
Using microdata from the 2015/16 Kenya Integrated Household Budget Survey
(KIHBS), this study analyses the gender wage gap in the private and public
sectors, considering the whole wage distribution with the assumption that the
decision to work in a sector is a prior process which is determined endogenously
in the model. Therefore, the usual Ordinary Least Square technique of estimation
is inconsistent, and it is necessary to use alternative techniques. The study
employs the Recentred Influence Function (RIF) Oaxaca-Blinder decomposition
to calculate how much of the gap is due to differences in returns between men
and women and sectors, considering the sample selection bias. We find that the
size of the gap attributed to different returns varies substantially across the
wage distribution. Public sector employees in Kenya are paid higher wages, on
average, than their counterparts in the private sector, and the gap is wider for
women. Moreover, the proportion of the gender wage gap explained (by different
characteristics) tends to be wider for workers who are at the top of the wage
distribution in both sectors. Looking at the whole wage distribution reveals that
discrimination in the gender wage gap is typically higher at its bottom than at
its top, suggesting that sticky floors are more prevalent than glass ceilings. A
very important contribution of this study is evaluation of covariates that widen
gender wage gap along the wage distribution. | en |