A Generalized Model of Misclassification Errors and Labor Force Dynamics
Shuaizhang Feng,
Yingyao Hu and
Jiandong Sun
Journal of Labor Economics, 2025, vol. 43, issue S1, S303 - S332
Abstract:
We study the US labor market transitions using a latent variable approach, explicitly modeling the persistent misclassification process and the non-Markovian nature of the underlying true labor force dynamics. A closed-form global identification for misclassification probabilities and labor transition probabilities is established through an eigenvalue-eigenvector decomposition. Contrary to existing studies, our empirical results suggest that the observed data have understated the true mobility in labor force statuses after we account for persistence in both the misclassification errors and the latent true labor force dynamics.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1086/732518 (application/pdf)
http://dx.doi.org/10.1086/732518 (text/html)
Access to the online full text or PDF requires a subscription.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ucp:jlabec:doi:10.1086/732518
Access Statistics for this article
More articles in Journal of Labor Economics from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().