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The effect of health on labour supply in nine former Soviet Union countries

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, January 2013
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Title
The effect of health on labour supply in nine former Soviet Union countries
Published in
HEPAC Health Economics in Prevention and Care, January 2013
DOI 10.1007/s10198-012-0455-y
Pubmed ID
Authors

Yevgeniy Goryakin, Lorenzo Rocco, Marc Suhrcke, Bayard Roberts, Martin McKee

Abstract

This paper examines for the first time the consequences of ill health on labour supply for a sample of nine countries from the former Soviet Union (FSU), using a unique multicountry household survey specifically designed for this region. We control for a wide range of individual, household, and community factors, using both standard regression techniques and instrumental variable estimation to address potential endogeneity. Specifically, we find in our baseline ordinary least squares specification that poor health is associated with a decrease in the probability of working of about 13 %. Controlling for community-level unobserved variables slightly increases the magnitude of this effect, to about 14 %. Controlling for endogeneity with the instrumental variable approach further supports this finding, with the magnitude of the effect ranging from 12 to 35 %. Taken together, our findings confirm the cost that the still considerable adult health burden in the FSU is imposing on its population, not only in terms of the disease burden itself, but also in terms of individuals' labour market participation, as well as potentially in terms of increased poverty risk. Other things being equal, this would increase the expected "return on investment" to be had from interventions aimed at improving health in this region.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Colombia 1 2%
United States 1 2%
Germany 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 7 13%
Student > Bachelor 5 10%
Student > Postgraduate 5 10%
Student > Master 5 10%
Other 8 15%
Unknown 9 17%
Readers by discipline Count As %
Economics, Econometrics and Finance 14 27%
Medicine and Dentistry 8 15%
Social Sciences 8 15%
Psychology 3 6%
Nursing and Health Professions 2 4%
Other 4 8%
Unknown 13 25%