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Diabetes, Employment and Behavioural Risk Factors in China: Marginal Structural Models versus Fixed Effects Models

Author

Listed:
  • Seuring, Till

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

  • Serneels, Pieter

    (University of East Anglia)

  • Suhrcke, Marc

    (University of York)

  • Bachmann, Max

    (University of East Anglia)

Abstract

A diabetes diagnosis can motivate its recipients to reduce their health risks by changing lifestyles but can adversely affect their economic activity. We investigate the effect of a diabetes diagnosis on employment status and behavioural risk-factors taking into account their potentially intertwined relationships. Longitudinal data from the China Health and Nutrition Survey covering the years 1997 to 2011 are used to estimate the effect of a diabetes diagnosis on employment probabilities, alcohol consumption, smoking cessation, body mass index, physical activity and hypertension. To deal with potential confounding, two complementary statistical techniques - marginal structural and fixed effects models - are applied. The marginal structural and fixed effects models generate similar results despite their different underlying assumptions. Both strategies find patterns distinct for males and females, suggesting a decrease in employment probabilities after the diagnosis for women but not for men. Further, few improvements and even further deterioration of behavioural risk factors are found for women, while for men these risk factors either improve or remain the same. These results suggest differences in the impact of diabetes between sexes in China and highlight the potential of reducing behavioural risk factors for women to narrow these inequities.

Suggested Citation

  • Seuring, Till & Serneels, Pieter & Suhrcke, Marc & Bachmann, Max, 2018. "Diabetes, Employment and Behavioural Risk Factors in China: Marginal Structural Models versus Fixed Effects Models," IZA Discussion Papers 11817, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp11817
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    References listed on IDEAS

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    Cited by:

    1. Alessio Gaggero & Joan Gil & Dolores Jiménez-Rubio & Eugenio Zucchelli, 2023. "Sick and depressed? The causal impact of a diabetes diagnosis on depression," Health Economics Review, Springer, vol. 13(1), pages 1-13, December.
    2. Luciana Juvenal & Paulo Santos Monteiro, 2021. "Risky Gravity," Discussion Papers 21/02, Department of Economics, University of York.
    3. Gaggero, A. & Gil, J. & Jiménez-Rubio, D. & Zucchelli, E., 2021. "Health information and lifestyle behaviours: the impact of a diabetes diagnosis," Health, Econometrics and Data Group (HEDG) Working Papers 21/02, HEDG, c/o Department of Economics, University of York.
    4. Gaggero, Alessio & Gil, Joan & Jiménez-Rubio, Dolores & Zucchelli, Eugenio, 2022. "Does health information affect lifestyle behaviours? The impact of a diabetes diagnosis," Social Science & Medicine, Elsevier, vol. 314(C).
    5. Mudrazija, Stipica & Butrica, Barbara A., 2023. "How does debt shape health outcomes for older Americans?," Social Science & Medicine, Elsevier, vol. 329(C).

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    More about this item

    Keywords

    China; diabetes; employment; behavioural risk factors; marginal structural model;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • F61 - International Economics - - Economic Impacts of Globalization - - - Microeconomic Impacts
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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