Evidence map›Paper›PMID 36776540›Full record

ArticleWorld development perspectives2023

The impact of COVID-19 infection on labor outcomes of Mexican formal workers.

Eva O Arceo-Gomez, Raymundo M Campos-Vazquez, Gerardo Esquivel, Eduardo Alcaraz, Luis A Martinez, Norma G Lopez

Open access · greenAbstract read
In one paragraph

Article in World development perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Eva O Arceo-GomezUniversidad Iberoamericana, Prolongación Paseo de la Reforma 880, Lomas de Santa Fe, Mexico City, CDMX 01219, Mexico.
Raymundo M Campos-VazquezEl Colegio de México, Centro de Estudios Económicos, Carretera Picacho Ajusco 20, Col. Ampliación Fuentes del Pedregal, Mexico City, CDMX C.P. 14110, Mexico.
Gerardo EsquivelEl Colegio de México, Carretera Picacho Ajusco 20, Col. Ampliación Fuentes del Pedregal, Mexico City, CDMX, C.P. 14110, Mexico.
Eduardo AlcarazInstituto Mexicano del Seguro Social (IMSS), Paseo de la Reforma 476, Col. Juárez, Mexico City, CDMX C.P. 06600, Mexico.
Luis A MartinezInstituto Mexicano del Seguro Social (IMSS), Paseo de la Reforma 476, Col. Juárez, Mexico City, CDMX C.P. 06600, Mexico.
Norma G LopezInstituto Mexicano del Seguro Social (IMSS), Paseo de la Reforma 476, Col. Juárez, Mexico City, CDMX C.P. 06600, Mexico.
Mexican Social Security Institute · MXEl Colegio de México · MXIbero American University · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVIDEmploymentMexicoWage

Identifiers

PMID36776540
PMCPMC9899779
OpenAlexW4319319519

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.