We study a mentoring program that aims to improve the labor-market prospects of school-attending adolescents from disadvantaged families by offering them a university-student mentor. Our RCT investigates program effectiveness on three outcome dimensions that are highly predictive of later labor-market success: math grades, patience/social skills, and labor-market orientation. For low-SES adolescents, the mentoring increases a combined index of the outcomes by over half a standard deviation after one year, with significant increases in each dimension. Part of the treatment effect is mediated by establishing mentors as attachment figures who provide guidance for the future. Effects on grades and labor-market orientation, but not on patience/social skills, persist three years after program start. By that time, the mentoring also improves early realizations of school-to-work transitions for low-SES adolescents. The mentoring is not effective for higher-SES adolescents. The results show that substituting lacking family support by other adults can help disadvantaged children at adolescent age.

We conduct a discrete choice experiment to investigate how the location of a firm in a rural or urban region affects the perceived job attractiveness for university students and graduates and, therewith, contributes to the rural–urban divide. We characterize the attractiveness of a location based on several dimensions (social life, public infrastructure and connectivity) and vary job design and contractual characteristics of the job. We find that job offers from companies in rural areas are generally considered less attractive, regardless of the attractiveness of the region. The negative perception is particularly pronounced among persons of urban origin and singles. In contrast, for individuals with partners and kids this preference is less pronounced. High-skilled individuals who originate from rural areas have no specific regional preference at all.

This paper uses a new empirical design to explore how labor market polarization affects individuals’ incentive to pursue education funded on the margin by student debt. We argue that the labor market polarization–where automation replaces mid-skill and mid-education-level job–changes the marginal benefits of education and training and sharpens incentives to incur student debt. We advance a new measure of labor market polarizations that allows to capture the heterogeneity of this phenomena across geographies and time. Using this measure, we find that U.S. CBSAs that experience deeper labor market polarization see an increase in student debt balances and in the number of people pursuing student debt. On average, the decline in middle-skill jobs and wages has little effect on individuals’ ability to pay down existing student debt. The effects are most pronounced in ZIP codes with lower average credit scores, lower incomes, and higher share of the minority population.

I study how labor market power affects firm wage differences using German manufacturing sector firm-level data (1995-2016). In past decades, labor market power increasingly moderated rising between-firm wage differences. This is because high-paying firms possess high and increasing labor market power and pay wages below competitive levels, whereas low-wage firms pay competitive or even above competitive wages. Over time, large, high-wage, high-productivity firms generate increasingly large labor market rents while charging comparably low product markups. This provides novel insights on why such top firms are profitable and successful. Using micro-aggregated data covering most economic sectors, I validate key results for multiple European countries.