In this study we sought to verify the hypothesis that a researcher's gender affects evaluation of his or her work, especially in fields in which women are a small minority. To this end we asked a sample of economics majors to rate papers written by mixed-gender couples, indicating that they were (co-) authored by a "female economist", "male economist", "young female economist" or "young male economist". While the age factor played no role, female authors received lower ratings. This effect was independent of the subject's gender.

Income inequality in the context of large structural change has received a lot of attention in the literature, but most studies relied on household post-transfer inequality measures. This study utilizes a novel and fairly comprehensive collection of micro data sets from between 1980's and 2010 for both advanced market economies and economies undergoing transition from central planning to market based system. We show that wage inequality was initially lower in transition economies and immediately upon the change of the economic system surpassed the levels observed in advanced economies. We find a very weak link between structural change and wages in both advanced and post-transition economies, despite the predictions from skill-biased technological change literature. The decomposition of changes in wage inequality into a part attributable to changes in characteristics (mainly education) and a part attributable to changes in rewards does not yield any leading factors.

We investigate the reliability of data from the Wage Indicator (WI), the largest online survey on earnings and working conditions. Comparing WI to nationally representative data sources for 17 countries reveals that participants of WI are not likely to have been representatively drawn from the respective populations. Previous literature has proposed to utilize weights based on inverse propensity scores, but this procedure was shown to leave reweighted WI samples different from the benchmark nationally representative data. We propose a novel procedure, building on covariate balancing propensity score, which achieves complete reweighting of the WI data, making it able to replicate the structure of nationally representative samples on observable characteristics. While rebalancing assures the match between WI and representative benchmark data sources, we show that the wage schedules remain different for a large group of countries. Using the example of a Mincerian wage regression, we find that in more than a third of the cases, our proposed novel reweighting assures that estimates obtained on WI data are not biased relative to nationally representative data. However, in the remaining 60 percent of the analyzed 95 data sets, systematic differences in the estimated coefficients of the Mincerian wage regression between WI and nationally representative data persist even after reweighting. We provide some intuition about the reasons behind these biases. Notably, objective factors such as access to the Internet or richness appear to matter, but self-selection (on unobservable characteristics) among WI participants appears to constitute an important source of bias.

One could expect that in the so-called talent occupations, while access to these professions may differ between men and women, gender wage gap should be actually smaller due to high relevance of human capital quality. Wage regressions typically suggest an inverted U-shaped age-productivity pattern. However, such analyses confuse age, cohort and year effects. Deaton (1997) decomposition allows to disentangle these effects. We apply this method to inquire the age-productivity pattern for the so-called "talent" occupations. Using data from a transition economy (Poland) we find that indeed talent occupations have a steeper age-productivity pattern. However, gender differences are larger for talent occupations than for general occupations.

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