Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is … gender wage gaps after netting out wage differentials due to differences in characteristics and their coefficients between …

decomposition of the gender wage gap. The LASSO selection with a one standard error rule removes about a quarter of the regressors …. We use the LASSO-selected regressors for OLSbased gender wage decompositions. This approach results in a smaller error … variance than in OLS without LASSO-selection. The explained gender wage gap is 1%-point greater than in the conventional OLS …

In this paper the extensive empirical literature on the gender wage gap is reviewed with particular attention given to … lead to inconsistent parameter estimates. On the other hand, empirical evidence on the gender wage gap hinges on the …

Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is … gender wage gaps after netting out wage differentials due to differences in characteristics and their coefficients between …