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The Impact of Diabetes on Labor Market Outcomes in Mexico: A Panel Data and Biomarker Analysis

Author

Listed:
  • Seuring, Till

    (Leibniz Institute for Prevention Research and Epidemiology (BIPS))

  • Serneels, Pieter

    (University of East Anglia)

  • Suhrcke, Marc

    (University of York)

Abstract

There is limited evidence on the labor market impact of diabetes, and existing evidence tends to be weakly identified. Making use of Mexican panel data to estimate individual fixed effects models, we find evidence for adverse effects of self-reported diabetes on employment probabilities, but not on wages or hours worked. Complementary biomarker information for a cross section indicates a large diabetes population unaware of the disease. When accounting for this, the negative relationship of self-reported diabetes with employment remains, but does not extend to those unaware. This difference cannot be explained by more severe diabetes among the self-reports, but rather worse general health.

Suggested Citation

  • Seuring, Till & Serneels, Pieter & Suhrcke, Marc, 2016. "The Impact of Diabetes on Labor Market Outcomes in Mexico: A Panel Data and Biomarker Analysis," IZA Discussion Papers 10123, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10123
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Thesis Thursday: Till Seuring
      by Chris Sampson in The Academic Health Economists' Blog on 2017-07-20 11:00:57

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    Cited by:

    1. 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.
    2. Gaggero, Alessio, 2020. "The effect of type 2 diabetes diagnosis in the elderly," Economics & Human Biology, Elsevier, vol. 37(C).
    3. Paolo Nicola Barbieri & Hieu Nguyen, 2022. "Diabetes and Young Adults’ Labor Supply: Evidence from a Novel Instrumental Variable Strategy," Journal of Labor Research, Springer, vol. 43(1), pages 1-23, March.
    4. 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).
    5. Rong Fu & Haruko Noguchi & Shuhei Kaneko & Akira Kawamura & Cheolmin Kang & Hideto Takahashi & Nanako Tamiya, 2019. "How do cardiovascular diseases harm labor force participation? Evidence of nationally representative survey data from Japan, a super-aged society," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-16, July.
    6. Kumara, Ajantha Sisira & Samaratunge, Ramanie, 2018. "The effects of chronic non-communicable diseases on labour force outcomes: Quasi experimental evidence from Sri Lanka," Economics & Human Biology, Elsevier, vol. 31(C), pages 40-53.

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    More about this item

    Keywords

    diabetes; labor market; Mexico; biomarker; panel data;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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