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The impact of diabetes on employment in Canada

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  • Ehsan Latif

Abstract

This paper examines the impact of diabetes on the employment of Canadian males and females ages 15–64. Using data from the National Population Health Survey (1998), it utilizes a recursive bivariate probit approach to take into account the potential endogeneity of diabetes in employment outcomes. The results suggest that treating diabetes as exogenous yields an over‐estimation of its impact on male employment. The study finds that diabetes has a significant negative impact on female employment probability, but has no significant impact on that of non‐white Canadians. An implication thus is that policy‐makers should take endogeneity into account in estimating labor market costs of chronic diseases such as diabetes. Copyright © 2008 John Wiley & Sons, Ltd.

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  • Ehsan Latif, 2009. "The impact of diabetes on employment in Canada," Health Economics, John Wiley & Sons, Ltd., vol. 18(5), pages 577-589, May.
    • Handle: RePEc:wly:hlthec:v:18:y:2009:i:5:p:577-589
    DOI: 10.1002/hec.1390
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    References listed on IDEAS

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    1. Jared Diamond, 2003. "The double puzzle of diabetes," Nature, Nature, vol. 423(6940), pages 599-602, June.
    2. H. Shelton Brown & José A. Pagán & Elena Bastida, 2005. "The impact of diabetes on employment: genetic IVs in a bivariate probit," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 537-544, May.
    3. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    4. Kahn, Matthew E, 1998. "Health and Labor Market Performance: The Case of Diabetes," Journal of Labor Economics, University of Chicago Press, vol. 16(4), pages 878-899, October.
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    1. Greene, Francis J. & Han, Liang & Martin, Sean & Zhang, Song & Wittert, Gary, 2014. "Testosterone is associated with self-employment among Australian men," Economics & Human Biology, Elsevier, vol. 13(C), pages 76-84.
    2. Seuring, Till & Goryakin, Yevgeniy & Suhrcke, Marc, 2015. "The impact of diabetes on employment in Mexico," Economics & Human Biology, Elsevier, vol. 18(C), pages 85-100.
    3. Steven F. Koch & Evelyn Thsehla, 2022. "The impact of diabetes on labour market outcomes," Development Southern Africa, Taylor & Francis Journals, vol. 39(3), pages 424-456, May.
    4. Chatterji, Pinka & Joo, Heesoo & Lahiri, Kajal, 2017. "Diabetes and labor market exits: Evidence from the Health & Retirement Study (HRS)," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 100-110.
    5. Rainer Winkelmann, 2012. "Copula Bivariate Probit Models: With An Application To Medical Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 21(12), pages 1444-1455, December.
    6. Liu, Xiaoou & Zhu, Chen, 2014. "Will knowing diabetes affect labor income? Evidence from a natural experiment," Economics Letters, Elsevier, vol. 124(1), pages 74-78.
    7. Kavetsos, Georgios, 2011. "The impact of physical activity on employment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 775-779.
    8. Jeung-Hee Kim & Weon-Young Lee & Song Soo Lim & Young Taek Kim & Yeon-Pyo Hong, 2020. "Gender Differences in the Relationship between Type 2 Diabetes Mellitus and Employment: Evidence from the Korea Health Panel Study," IJERPH, MDPI, vol. 17(19), pages 1-11, September.
    9. Seuring, Till & Serneels, Pieter & Suhrcke, Marc & Bachmann, Max, 2020. "Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models," Economics & Human Biology, Elsevier, vol. 39(C).
    10. Giampiero Marra & Rosalba Radice & Silvia Missiroli, 2014. "Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models," Computational Statistics, Springer, vol. 29(3), pages 715-741, June.
    11. Marra Giampiero & Radice Rosalba, 2017. "A joint regression modeling framework for analyzing bivariate binary data in R," Dependence Modeling, De Gruyter, vol. 5(1), pages 268-294, December.
    12. Michael Ekholuenetale & Anthony Ike Wegbom & Clement Kevin Edet & Charity Ehimwenma Joshua & Amadou Barrow & Chimezie Igwegbe Nzoputam, 2023. "Impact of Chronic Diseases on Labour Force Participation among South African Women: Further Analysis of Population-Based Data," World, MDPI, vol. 4(1), pages 1-12, February.
    13. Pengju Zhao & Ke Li & Peter C. Coyte, 2023. "The impact of non-communicable chronic diseases on the earned income of working age Chinese residents," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    14. Hidayatina, Achsanah & Garces-Ozanne, Arlene, 2019. "Can cash transfers mitigate child labour? Evidence from Indonesia’s cash transfer programme for poor students in Java," World Development Perspectives, Elsevier, vol. 15(C), pages 1-1.
    15. Till Seuring & Olga Archangelidi & Marc Suhrcke, 2015. "The Economic Costs of Type 2 Diabetes: A Global Systematic Review," PharmacoEconomics, Springer, vol. 33(8), pages 811-831, August.

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