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- handle: 10670/1.86g90l
- hal: hal-03473875
- doi: 10.1016/j.red.2012.07.001
- SCIENCESPO: 2441/4l136f59vb8mcalu5p6p5li007
- WOS: 000320292200004
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info:eu-repo/semantics/altIdentifier/doi/10.1016/j.red.2012.07.001
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info:eu-repo/semantics/altIdentifier/hdl/2441/4l136f59vb8mcalu5p6p5li007
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Mots-clés
Matching Function Estimation Unemployment Vacancies Job Finding J - Labor and Demographic Economics/J.J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers/J.J6.J63 - Turnover • Vacancies • Layoffs J - Labor and Demographic Economics/J.J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers/J.J6.J64 - Unemployment: Models, Duration, Incidence, and Job Search E - Macroeconomics and Monetary Economics/E.E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy/E.E2.E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor ProductivitySujets proches
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Daniel Borowczyk-Martins et al., « Accounting for Endogeneity in Matching Function Estimation », Archive ouverte de Sciences Po (SPIRE), ID : 10.1016/j.red.2012.07.001
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Résumé
We show that equilibrium matching models imply that standard estimates of the matching function elasticities are exposed to an endogeneity bias, which arises from the search behavior of agents on either side of the market. We offer an estimation method which, under certain structural assumptions about the process driving shocks to matching efficiency, is immune from that bias. Application of our method to the estimation of a basic version of the matching function using aggregate U.S. data from the Job Openings and Labor Turnover Survey (JOLTS) suggests that the bias can be quantitatively important.