Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects
Journal of Political Economy,
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.
IWH-Insolvenztrend für Januar: Alte Gründe für viele neue Firmenpleiten Deutlich schneller als die amtliche Statistik...
IWH-Insolvenzforschung Die IWH-Insolvenzforschungsstelle bündelt die...
Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment
IWH Discussion Papers,
We analyse the impact of robot adoption on employment composition using novel micro data on robot use in German manufacturing plants linked with social security records and data on job tasks. Our task-based model predicts more favourable employment effects for the least routine-task intensive occupations and for young workers, with the latter being better at adapting to change. An event-study analysis of robot adoption confirms both predictions. We do not find adverse employment effects for any occupational or age group, but churning among low-skilled workers rises sharply. We conclude that the displacement effect of robots is occupation biased but age neutral, whereas the reinstatement effect is age biased and benefits young workers most.
Who Buffers Income Losses after Job Displacement? The Role of Alternative Income Sources, the Family, and the State ...
The CompNet Competitiveness Database The Competitiveness Research Network (CompNet)...
Hysteresis from Employer Subsidies
Journal of Public Economics,
This paper uses administrative data to analyze a large and 8-year long employer payroll tax rate cut in Sweden for young workers aged 26 or less. We replicate previous results documenting that during the earlier years of the reform, it raised youth employment among the treated workers, driven by labor demand (as workers’ take-home wages did not respond). First, drawing on additional years of data, this paper then documents that the longer-run effects during the reform are twice as large as the medium-run effects. Second, we document novel labor-demand-driven “hysteresis” from this policy – i.e. persistent employment effects even after the subsidy no longer applies – along two dimensions. Over the lifecycle, employment effects persist even after workers age out of eligibility. Three years after the repeal, employment remains elevated at the maximal reform level in the formerly subsidized ages. These hysteresis effects more than double the direct employment effects of the reform. Discrimination against young workers in job posting fell during the reform and does not bounce back after repeal, potentially explaining our results.
Measuring the Impact of Household Innovation Using Administrative Data
Measuring and Accounting for Innovation in the Twenty-First Century,
NBER Studies in Income and Wealth, Vol 78 /
We link USPTO patent data to U.S. Census Bureau administrative records on individuals and firms. The combined dataset provides us with a directory of patenting household inventors as well as a time-series directory of self-employed businesses tied to household innovations. We describe the characteristics of household inventors by race, age, gender and U.S. origin, as well as the types of patented innovations pursued by these inventors. Business data allows us to highlight how patents shape the early life-cycle dynamics of nonemployer businesses. We find household innovators are disproportionately U.S. born, white and their age distribution has thicker tails relative to business innovators. Data shows there is a deficit of female and black inventors. Household inventors tend to work in consumer product areas compared to traditional business patents. While patented household innovations do not have the same impact of business innovations their uniqueness and impact remains surprisingly high. Back of the envelope calculations suggest patented household innovations granted between 2000 and 2011 might generate $5.0B in revenue (2000 dollars).
Birds, Birds, Birds: Co-worker Similarity, Workplace Diversity and Job Switches
British Journal of Industrial Relations,
We investigate how the demographic composition of the workforce along the sex, nationality, education, age and tenure dimensions affects job switches. Fitting duration models for workers’ job‐to‐job turnover rate that control for workplace fixed effects in a representative sample of large manufacturing plants in Germany during 1975–2016, we find that larger co‐worker similarity in all five dimensions substantially depresses job‐to‐job moves, whereas workplace diversity is of limited importance. In line with conventional wisdom, which has that birds of a feather flock together, our interpretation of the results is that workers prefer having co‐workers of their kind and place less value on diverse workplaces.