We examine the gender wage gap in Austria using new matched employer-employee data from 2007. We investigate the gap at the conditional wage distribution of men and women, and decompose it into the parts which are attributed to different characteristics and different returns to these...

We use the LASSO estimator to select among a large number of explanatory variables in wage regressions for a 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...

We examine the gender wage gap in Austria from 2005 to 2017 using data from EU-SILC. The raw wage gap declined from 18.6 logpoints in 2005 to 14.9 log points in 2017. We use standard decomposition techniques that correct for differences in the distributionsof human capital and other variables...