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How Much Should We Trust Estimates of Firm Effects and Worker Sorting?

Stéphane Bonhomme1; Kerstin Holzheu2; Thibaut Lamadon3,4,1,5; Elena Manresa6; Magne Mogstad3,4,1; Bradley Setzler7

1 University of Chicago · 2 Institut d'Etudes Politiques de Paris · 3 National Bureau of Economic Research · 4 Institute for Fiscal Studies · 5 Institute for Evaluation of Labour Market and Education Policy · 6 New York University · 7 Pennsylvania State University

Journal of Labor Economics 2023 open access

Many studies use matched employer-employee data to estimate a statistical model of earnings determination with worker and firm fixed effects. Estimates based on this model have produced influential yet controversial conclusions. The objective of this paper is to assess the sensitivity of these conclusions to the biases that arise because of limited mobility of workers across firms. We use employer-employee data from the United States and several European countries while taking advantage of both fixed effects and random effects methods for bias correction. We find that limited mobility bias is severe and that bias correction is important.

DOI
10.1086/720009
Volume
41 (2)
Pages
291-322
Language
en
Export
BibTeX
Sources
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