The impact of COVID-19 infection on labor outcomes of Mexican formal workers
Eva Arceo-Gomez,
Raymundo M. Campos-Vazquez,
Gerardo Esquivel (),
Eduardo Alcaraz,
Luis A. Martinez and
Norma G. Lopez
World Development Perspectives, 2023, vol. 29, issue C
Abstract:
The outbreak of the COVID-19 pandemic had an immediate and severe impact on the economy. However, we do not know whether the disease may have a longer-term effect on people's employment opportunities. In this study, we focus on the effects of COVID-19 infection on labor market outcomes 12 months after diagnosis. We use a unique dataset that includes all formal private sector workers in the Mexican social security system and that links health outcomes with administrative records. We implement two alternative identification strategies to estimate the impact: matching estimators and individual fixed effects models. Our study finds that COVID-19 infection does not harm employment probabilities or wages. On the contrary, we find that workers who had tested positive for COVID had a higher likelihood of keeping their formal sector jobs and higher wages than those who did not. Moreover, our results describe mostly low-income workers.
Keywords: Employment; Wage; COVID; Mexico (search for similar items in EconPapers)
JEL-codes: I10 I15 J20 J23 O54 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2452292923000048
Full text for ScienceDirect subscribers only
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:eee:wodepe:v:29:y:2023:i:c:s2452292923000048
DOI: 10.1016/j.wdp.2023.100488
Access Statistics for this article
World Development Perspectives is currently edited by Ashwini Chhatre
More articles in World Development Perspectives from Elsevier
Bibliographic data for series maintained by Catherine Liu ().