Yaroslav Yakymovych

Research 

Medical Certificates and Sickness Absence: Who Stays Away From Work if Monitoring Is Relaxed? 

IFAU working paper  Report in Swedish  Link to latest version

Media coverage:  Dagens ETC, Han vill se minskade krav på läkarintyg vid sjukfrånvaro – för vissa

The heterogeneous earnings impact of job loss across workers, establishments, and markets (with Susan Athey, Lisa Simon, Oskar Nordström Skans and Johan Vikström)

NBER working paper Report in Swedish 

Consequences of Job Loss for Routine Workers (Empirical Economics, 2025)

Published version Report in Swedish 

The Effects of Artificial Intelligence on Jobs: Evidence from an AI Subsidy Program (with Mark Hellsten, Shantanu Khanna and Magnus Lodefalk)

Working paper 

Parental Separations: Developments, Causes and Consequences (with Raoul van Maarseveen)

Working paper 

Media coverage: Aktuellt i politiken, Lägre betyg för barn med separerade föräldrar  

Understanding occupational wage growth (with Adrian Adermon, Simon Ek and Georg Graetz)

We jointly estimate growth in occupational wage premia as well as time-varying occupation-specific life-cycle profiles for Swedish workers 1996–2013. Our novel identification strategy is based on re-centering of life-cycle profiles around their flat spot. We document a substantial increase in between-occupation wage inequality due to differential growth in premia, and show that changes in worker composition partly counteracted this trend. The association of wage premium growth and employment growth is positive, suggesting that premium growth is predominantly driven by demand-side factors. We also find that wage growth due to occupation-specific skill acquisition was more dispersed in the early years of the sample period. Our results are robust to varying the assumed flat spot over a reasonable range, as well as to allowing for occupation-level changes in returns to cognitive and psycho-social skills. The results suggest that Swedish wage setting institutions have not prevented wages and quantities from adjusting to technological change or consumer demand shifts.

Families, Neighbourhoods and Children's Educational Outcomes (with Matz Dahlberg, Torsten Santavirta and Majken Stenberg)

Understanding whether differences in the outcomes of children who grow up in different locations represent location effects or residential sorting is an important question in economic research and policy. We estimate location effects by controlling for differences in observed family characteristics across locations using machine learning and rich Swedish administrative data. We focus on university enrolment, and find that observed family characteristics explain 70-80 percent of the differences between children who grow up in different locations. The remaining unexplained gap is an upper bound for the size of location effects, as it also includes the effects of unobserved family characteristics. We systematically analyse heterogeneity in the size of the unexplained gap for children from different types of families, finding that it is larger for children of low-educated parents. The unexplained rural-urban gap is larger for boys and second-generation immigrants, while the unexplained gap between rich and poor neighbourhoods in cities is larger for girls and those with native-born parents. Overall, the results suggest that differences in university enrolment across locations are mostly due to residential sorting of families rather than location effects.