Browsing by Subject "Quantile regression"

Now showing 1 - 2 of 2
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    Occupational licensing and the gender wage gap
    (2020) Rostam-Afschar, Davud; Pagliero, Mario; Koumenta, Maria
    We use a unique survey of the EU labor force to investigate the relationship between occupational licensing and the gender wage gap. We find that the gender wage gap is canceled for licensed self-employed workers. However, this closure of the gender wage gap is not mirrored by significant changes in the gender gap inhours worked. Our results are robust using decomposition methods, quantile regressions, different datasets, and selection correction.
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    To bind or not to bind collectively? : decomposition of bargained wage differences using counterfactual distributions
    (2007) Spindler, Markus; Heinbach, Wolf Dieter
    Collective bargaining agreements still play an important role in the German wage setting system. Both existing theoretical and empirical studies find that collective bargaining leads to higher wages compared to individually agreed ones. However, the impact of collective bargaining on the wage level may be very different along the wage distribution. As unions aim at compressing the wage distribution, one might expect that for covered workers? wages in the lower part of the distribution workers? individual characteristics may be less important than the coverage by a collective contract. In contrast, the relative importance of workers? individual characteristics may rise in the upper part of the wage distribution, whereas the overall wage difference might decline. Using the newly available German Structure of Earnings Survey (GSES) 1995 and 2001, a cross-sectional linked employer-employee-dataset from German official statistics, this study analyses the difference between collectively and individually agreed wages using a Machado/Mata (2005) decomposition type technique.