Documents Kunaschk, Max 2 results

"This paper provides comprehensive evidence on the labor and product market effects of a high-impact minimum wage introduction in the highly competitive hairdressing sector. Using detailed administrative data, I find negligible overall employment effects, even though the minimum wage substantially increased hourly wages. However, sub-group analyses reveal considerable heterogeneity in the estimated employment effects and suggest shifts away from marginal towards regular employment. Analyses of the price effects suggest that the reform increased output prices considerably, implying that consumers largely paid for the minimum wage."

"Predictions of whether newly unemployed individuals will become long-term unemployed are important for the planning and policy mix of unemployment insurance agencies. We analyze unique data on three sources of information on the probability of re-employment within 6 months (RE6), for the same individuals sampled from the inflow into unemployment. First, they were asked for their perceived probability of RE6. Second, their caseworkers revealed whether they expected RE6. Third, random-forest machine learning methods are trained on administrative data on the full inflow, to predict individual RE6. We compare the predictive performance of these measures and consider whether combinations improve this performance. We show that self-reported and caseworker assessments sometimes contain information not captured by the machine learning algorithm."