Abstract:Most past studies of gender wage differentials estimate wage models using the entire sample for different gender groups. The estimated coefficients are then used in wage decomposition formula to identify the contribution of variables to the wage gap. However, quantile regression is preferred nowadays as it allows the regressors to be associated with the shape of wage distribution, whereby the glass ceiling and sticky floor effects can be identified. This paper attempts to examine the extent to which the glass … Show more
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