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We examine the potential effect of naturalization on the U.S. immigrants’ earnings. We find the earning gap between naturalized citizens and noncitizens is positive over many years, with a tent shape across the wage distribution. We focus on a normalized metric entropy measure of the gap between distributions, and compare with conventional measures at the mean, median, and other quantiles. In addition, naturalized citizen earnings (at least) second-order stochastically dominate noncitizen earnings in many of the recent years. We construct two counterfactual distributions to further examine the potential sources of the earning gap, the “wage structure” effect and the “composition” effect. Both of these sources contribute to the gap, but the composition effect, while diminishing somewhat after 2005, accounts for about 3/4 of the gap. The unconditional quantile regression (based on the Recentered Influence Function), and conditional quantile regressions confirm that naturalized citizens have generally higher wages, although the gap varies for different income groups, and has a tent shape in many years.

In this paper we use a large linked employer-employee data set on German establishments between 1993 and 2012 to investigate how the gender composition of the top layer of management affects a variety of establishment and worker outcomes. We use two different measures to identify the gender composition of the top layer based on direct survey data: the fraction of women among top managers, and the fraction of women among working proprietors. We document the following facts: (a) There is a strong negative association between the fraction of women in the top layer of management and several establishment outcomes, among them business volume, investment, total wage bill per worker, total employment, and turnover; (b) Establishments with a high fraction of women in the top layer of management are more likely to implement female-friendly policies, such as providing childcare facilities or promoting and mentoring female junior staff; (c) The fraction of women in the top layer of management is also negatively associated with employment and wages, both male and female, full-time and part-time. However, all of these associations vanish when we include establishment fixed effects and establishment-specific time trends. This reveals a substantial sorting of female managers across establishments: small and less productive establishments that invest less, pay their employees lower wages, but are more female-friendly are more likely to be led by women.

This paper uses data from the Cedefop European Skills and Jobs survey (ESJS) (Cedefop, 2014, ESJS microdata are Cedefop copyright and are reproduced with the permission of Cedefop. Further information is available at Cedefop, 2015), a new international dataset on skill mismatch of adult workers in 28 EU countries, to decompose the wage penalty of overeducated workers. The ESJ survey allows for integration of a rich set of variables in the estimation of the effect of overeducation on earnings, such as individuals’ job search motives and the skill needs of their jobs. Oaxaca decomposition techniques are employed to uncover the extent to which the earnings penalties of overeducated workers can be attributed to either (i) individual human capital attributes, (ii) job characteristics, (iii) information asymmetries, (iv) compensating job attributes, or (iv) assignment to jobs with different skill needs. Differences in human capital and job-skill requirements are important factors in explaining the wage premium. It is found that asymmetry of information accounts for a significant part of the overeducation wage penalty of tertiary education graduates, whereas job characteristics and the low skill content of their jobs can explain most of the wage gap for medium-qualified employees. Little evidence is found in favor of equilibrium theories of compensating wage differentials and career mobility. Accepting that much remains to be learned with regards to the drivers of overeducation, this paper provides evidence in support of the need for customized policy responses to tackle overeducation.