caa a22 4500 605534292 CHVBK 20210128100842.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s10663-014-9244-4 doi (NATIONALLICENCE)springer-10.1007/s10663-014-9244-4 Decomposing wage discrimination in Germany and Austria with counterfactual densities [Elektronische Daten] [Thomas Grandner, Dieter Gstach] Using income and other individual data from EU-SILC for Germany and Austria, we analyze wage discrimination for three break-ups: gender, sector of employment, and country of origin. Using the method of Machado and Mata (J Appl Econom 20(4):445-465, 2005) the discrimination over the whole range of the wage distribution is estimated. Significance of results is checked via confidence interval estimates along the lines of Melly (Estimation of counterfactual distributions using quantile regression. Working Paper, SIAW, University of St. Gallen, 2006). The economies of Germany and Austria appear structurally very similar and are highly interconnected. One would, therefore, expect to find similar levels and structures of wage discrimination. Our findings deviate from this conjecture significantly. Springer Science+Business Media New York, 2014 Wage discrimination nationallicence Decomposition nationallicence Quantile regression nationallicence Grandner Thomas Vienna University of Economics, Vienna, Austria aut Gstach Dieter Vienna University of Economics, Vienna, Austria aut Empirica Springer US; http://www.springer-ny.com 42/1(2015-02-01), 49-76 0340-8744 42:1<49 2015 42 10663 https://doi.org/10.1007/s10663-014-9244-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10663-014-9244-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Grandner Thomas Vienna University of Economics, Vienna, Austria aut NATIONALLICENCE 700 1- Gstach Dieter Vienna University of Economics, Vienna, Austria aut NATIONALLICENCE 773 0- Empirica Springer US; http://www.springer-ny.com 42/1(2015-02-01), 49-76 0340-8744 42:1<49 2015 42 10663