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Effects of self-employment on hospitalizations: instrumental variables analysis of social security data

The importance of self-employment and small businesses raises questions about their health effects and public policy implications, which can only be addressed with suitable data. We explore the relationship between self-employment and health by drawing on comprehensive longitudinal administrative da...

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Detalles Bibliográficos
Autores principales: Gonçalves, Judite, Martins, Pedro S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293961/
http://dx.doi.org/10.1007/s11187-020-00360-w
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author Gonçalves, Judite
Martins, Pedro S.
author_facet Gonçalves, Judite
Martins, Pedro S.
author_sort Gonçalves, Judite
collection PubMed
description The importance of self-employment and small businesses raises questions about their health effects and public policy implications, which can only be addressed with suitable data. We explore the relationship between self-employment and health by drawing on comprehensive longitudinal administrative data to explore variation in individual work status and by applying novel instrumental variables. We focus on an objective outcome—hospital admissions—that is not subject to recall or other biases that may affect previous studies. Our main findings, based on a sample of about 6,500 individuals followed monthly from 2005 to 2011 and who switch between self-employment and wage work along that period, suggest that self-employment has a positive effect on health as it reduces the likelihood of hospital admission by at least half.
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spelling pubmed-72939612020-06-15 Effects of self-employment on hospitalizations: instrumental variables analysis of social security data Gonçalves, Judite Martins, Pedro S. Small Bus Econ Article The importance of self-employment and small businesses raises questions about their health effects and public policy implications, which can only be addressed with suitable data. We explore the relationship between self-employment and health by drawing on comprehensive longitudinal administrative data to explore variation in individual work status and by applying novel instrumental variables. We focus on an objective outcome—hospital admissions—that is not subject to recall or other biases that may affect previous studies. Our main findings, based on a sample of about 6,500 individuals followed monthly from 2005 to 2011 and who switch between self-employment and wage work along that period, suggest that self-employment has a positive effect on health as it reduces the likelihood of hospital admission by at least half. Springer US 2020-06-15 2021 /pmc/articles/PMC7293961/ http://dx.doi.org/10.1007/s11187-020-00360-w Text en © Springer Science+Business Media, LLC, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Gonçalves, Judite
Martins, Pedro S.
Effects of self-employment on hospitalizations: instrumental variables analysis of social security data
title Effects of self-employment on hospitalizations: instrumental variables analysis of social security data
title_full Effects of self-employment on hospitalizations: instrumental variables analysis of social security data
title_fullStr Effects of self-employment on hospitalizations: instrumental variables analysis of social security data
title_full_unstemmed Effects of self-employment on hospitalizations: instrumental variables analysis of social security data
title_short Effects of self-employment on hospitalizations: instrumental variables analysis of social security data
title_sort effects of self-employment on hospitalizations: instrumental variables analysis of social security data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293961/
http://dx.doi.org/10.1007/s11187-020-00360-w
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