Evidence map›Paper›PMID 42406174›Full record

ArticleInternational journal of health economics and management2026

In health and unemployment: well-being impacts of joblessness on oneself and partners.

Israel Escudero-Castillo, Fco Javier Mato-Díaz, Ana Rodríguez-Álvarez

Erratum issuedAbstract read
In one paragraph

Article in International journal of health economics and management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Israel Escudero-CastilloDepartment of Applied Economics, University of Burgos, Burgos, Spain.ORCID http://orcid.org/0000-0003-3229-3613
Fco Javier Mato-DíazDepartment of Applied Economics, University of Oviedo, Asturias, Spain.ORCID http://orcid.org/0000-0002-4356-6296
Ana Rodríguez-ÁlvarezDepartment of Economics, University of Oviedo, Asturias, Spain. ana@uniovi.es.ORCID http://orcid.org/0000-0002-2492-5070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper examines the direct and indirect or vicarious (i.e., experienced through a partner's unemployment) relationship between unemployment and psychological well-being, shedding more light on why unemployment patterns may differ between women and men. To accomplish this, we tackle the potential endogeneity concern by employing an identification strategy designed to explore the associations between unemployment and mental health while reducing biased results. To our knowledge, this study is the first to employ this strategy to analyse both direct and indirect relationships. We utilize individual and household data from Spain across the years 2006, 2011, and 2017, representing the first study about this topic for this country. The results indicate a detrimental link between unemployment and personal well-being. By sex, a significant association with unemployment was only observable in men, while among women, it became significant only when disaggregated by parental status, specifically among those without children. A similar pattern emerges for the vicarious association: male unemployment is associated with worse psychological well-being among their female partners, especially in couples without children. By contrast, female unemployment is not significantly associated with the psychological well-being of their male partners.

Indexed as

Mental HealthUnemploymentAdultFemaleHumansMaleMiddle AgedPsychological Well-BeingSex FactorsSpainGender differencesInstrumental variablesPsychological well-beingTwo-stage least squares regressionUnemployment

Identifiers

PMID42406174
PMCPMC13337786

What OpenQuestion holds

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Registered trials

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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.