Long-term unemployment among older workers is particularly difficult to overcome. We study the impacts of a large-scale job guarantee program that offered up to two years of fully subsidized employment to long-term unemployed individuals aged 50 and above. Using a sharp age-based discontinuity...

Long-term unemployment among older workers is particularly difficult to overcome. We study the impacts of a large-scale job guarantee program that offered up to two years of fully subsidized employment to long-term unemployed individuals aged 50 and above. Using a sharp age-based discontinuity...

We propose a flexible, extensible family of distributions for testing Markov Chain Monte Carlo implementations. Distributions are created by nesting simple transformations, which allow various shapes, including multiple modes and fat tails. The resulting distributions can be sampled with high...

The relationship between parenthood and gendered labor market outcomes has been extensively studied, with the 'child penalty'-defined as the effect of having children on mothers' labor earnings relative to their partners'-documented in many countries. While prior research has explored...

The relationship between parenthood and gendered labor market outcomes has been extensively studied, with the 'child penalty'-defined as the effect of having children on mothers' labor earnings relative to their partners'-documented in many countries. While prior research has explored...

How do economic crises reshape firms' skill demand through changes in the organization of work? Using the COVID-19 pandemic as a shock to workplace practices, this paper examines whether short-term disruptions prompt lasting shifts in job requirements. We draw on 11 million German online job...

We study how artificial intelligence (AI) affects workers' earnings and employment stability, combining German job vacancy data with administrative records from 2017-2023. Identification comes from changes in workers' exposure to local AI skill demand over time, instrumented with national demand...

We propose a flexible, extensible family of distributions for testing Markov Chain Monte Carlo implementations. Distributions are created by nesting simple transformations, which allow various shapes, including multiple modes and fat tails. The resulting distributions can be sampled with high...

We study how artificial intelligence (AI) affects workers' earnings and employment stability, combining German job vacancy data with administrative records from 2017-2023. Identification comes from changes in workers' exposure to local AI skill demand over time, instrumented with national demand...

How do economic crises reshape firms' skill demand through changes in the organization of work? Using the COVID-19 pandemic as a shock to workplace practices, this paper examines whether short-term disruptions prompt lasting shifts in job requirements. We draw on 11 million German online job...