Literature DB >> 21167616

Institutions, health shocks and labour market outcomes across Europe.

Pilar García-Gómez1.   

Abstract

This paper investigates the relationship between health shocks and labour market outcomes in 9 European countries using the European Community Household Panel. Matching techniques are used to control for the non-experimental nature of the data. The results suggest that there is a significant causal effect from health on the probability of employment: individuals who incur a health shock are significantly more likely to leave employment and transit into disability. The estimates differ across countries, with the largest employment effects being found in The Netherlands, Denmark, Spain and Ireland, and the smallest in France and Italy. Differences in social security arrangements help to explain these cross-country differences.
Copyright © 2010 Elsevier B.V. All rights reserved.

Mesh:

Year:  2010        PMID: 21167616     DOI: 10.1016/j.jhealeco.2010.11.003

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  19 in total

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2.  Long Term and Spillover Effects of Health Shocks on Employment and Income.

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Journal:  Eur J Health Econ       Date:  2011-05-11

Review 7.  The Cross-Country Comparison Model for Labor Participation (CCC Model for LP) of Persons with Chronic Diseases.

Authors:  Angelique de Rijk; Karina Carrasco-Negüe; Inge Houkes
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8.  Understanding how low-socioeconomic status households cope with health shocks: An analysis of multi-sector linked data.

Authors:  Tammy Leonard; Amy E Hughes; Sandi L Pruitt
Journal:  Ann Am Acad Pol Soc Sci       Date:  2016-12-20

9.  Good jobs, good pay, better health? The effects of job quality on health among older European workers.

Authors:  Golo Henseke
Journal:  Eur J Health Econ       Date:  2017-01-13

10.  Longitudinal methods to investigate the role of health determinants in the dynamics of income-related health inequality.

Authors:  Paul Allanson; Dennis Petrie
Journal:  J Health Econ       Date:  2013-07-24       Impact factor: 3.883

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