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Jochmans, Koen
ORCID: https://orcid.org/0000-0002-3090-3003
(2025)
Identification in Models for Matched Panel Data with Two-Sided Random Effects.
TSE Working Paper, n. 25-1649, Toulouse
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Abstract
This paper is concerned with models for matched worker-firm data in the presence of both worker and firm heterogeneity. We show that models with complementarity and sorting can be nonparametrically identified from short panel data while treating both worker and firm heterogeneity as discrete random effects. This paradigm is different from the framework of Bonhomme, Lamadon and Manresa (2019), where identification results are derived under the assumption that worker effects are random but firm heterogeneity is observed. The latter assumption requires the ability to consistently assign firms to latent clusters, which may be challenging; at a minimum, it demands minimal firm size to grow without bound. Our setup is compatible with
many theoretical specifications and our approach is constructive. Our identification
results appear to be the first of its kind in the context of matched panel data problems.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Language: | English |
| Date: | June 2025 |
| Place of Publication: | Toulouse |
| Uncontrolled Keywords: | bipartite graph, complementarity, heterogeneity, panel data, sorting |
| JEL Classification: | C23 - Models with Panel Data J31 - Wage Level and Structure; Wage Differentials by Skill, Training, Occupation, etc. J62 - Job, Occupational, and Intergenerational Mobility |
| Subjects: | B- ECONOMIE ET FINANCE |
| Divisions: | TSE-R (Toulouse) |
| Institution: | Université Toulouse Capitole |
| Ecole doctorale: | Toulouse School of Economics (Toulouse) |
| Site: | UT1 |
| Date Deposited: | 27 Jun 2025 06:45 |
| Last Modified: | 06 Feb 2026 12:45 |
| OAI Identifier: | oai:tse-fr.eu:130607 |
| URI: | https://publications.ut-capitole.fr/id/eprint/50954 |
