The aim of this paper was to estimate the gender wage gap in Poland and in the 16 NUTS2 Polish regions in 2010, and to verify the predictions of the spatial monopsony model for Poland with a newly created, harmonized database for wages of individuals in Poland. According to the model, the unexplained part of the gender wage gap, identified with wage discrimination, tend to be lower in regions with more competition between employers.

The results of the analyses performed in this paper show that in more urbanized regions the average wages are higher than in the rural ones. In each of the 16 NUTS2 Polish regions, women earn less than men. Raw differences in wages between men and women are largest in the most urbanized regions but a significant part of the differences in those regions can be explained by differences in workers’ characteristics, especially by different sectoral structure of employment. The part of the gender wage gap which remains unexplained, and in the literature is commonly attached to discrimination, is the highest in rural regions of Eastern Poland in line with the predictions of the spatial monopsony model.

Various quantile regression approaches are implemented to analyze thecharacteristics of Italian data on earnings in the tails. A changing coefficientspattern across quantiles shows increasing returns to education along the wagedistribution. A quantile decomposition approach shows that higher educationgrants higher return at all quantiles, thus implying additional, non-linear returnsto higher education throughout the entire pattern of the earning distribution.Wage gender gap displays a decreasing pattern across quantiles, and it doesnot disappear at the higher quantiles. The southern workers penalty decreasesacross quantiles as well for highly educated workers.