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  Skill_remoteness_rep 10/26/2024 11:11:AM

Project Citation: 

Macaluso, Claudia. Data and Code for: Skill remoteness and post-layoff labor market outcomes. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-03-12. https://doi.org/10.3886/E197947V1

Project Description

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This paper quantifies how the local skill remoteness of a laid-off worker’s last job affects subsequent wages, employment, and mobility rates. Local skill remoteness captures the degree of dissimilarity between the skill profiles of the worker’s last job and all other jobs in a local labor market. I implement a measure of local skill remoteness at the occupation-city level and find that higher skill remoteness at layoff is associated with persistently lower earnings after layoff. Earnings differences between workers whose last job was above or below median skill remoteness amount to a loss of more than $10,000 over 4 years, and are mainly accounted for by lower wages upon re-employment (not lower hours
worked). Workers who lost a skill-remote job also have a higher probability of changing occupation, a lower probability of being re-employed at jobs with similar skill profiles, and a higher propensity to migrate to another city after layoff. Finally, I show that jobs destroyed in recessions are more skill-remote than those lost in booms. Taking all these facts together, I conclude that the local skill remoteness of jobs is an empirically relevant factor to understand the severity and cyclicality of displaced workers’ earnings losses and reallocation patterns.

Scope of Project

JEL Classification:  View help for JEL Classification
      E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J63 Labor Turnover; Vacancies; Layoffs


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