We use cookies to provide you with the best possible website experience. This includes cookies that are necessary for the operation of the site, as well as cookies used for anonymous statistics, comfort settings, or displaying personalized content. You can decide which categories you want to allow. Please note that depending on your settings, some features of the website may not be available.

Cookie settings

These necessary cookies are required to enable the core functionality of the website. Opting out of these cookies is not possible.

cb-enable
This cookie stores the user's cookie consent status for the current domain. Expiry: 1 year.
laravel_session
Stores the session ID to recognize the user when the page reloads and to restore their login session. Expiry: 2 hours.
XSRF-TOKEN
Provides CSRF protection for forms. Expiry: 2 hours.
IZA Discussion Paper No. 11817
September 2018
Diabetes, Employment and Behavioural Risk Factors in China: Marginal Structural Models versus Fixed Effects Models

published in: Economics & Human Biology, 2020, 29, 100925

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.

Kommunikation
Mark Fallak
mark.fallak@liser.lu
+352 585-855-526
World of Labour
Olga Nottmeyer
olga.nottmeyer@liser.lu
+352 585-855-501
Netzwerkkoordination
Christina Gathmann
christina.gathmann@liser.lu

Das IZA@LISER-Netzwerk ist eine weltweite Gemeinschaft für exzellente Forschung in der Arbeitsmarktökonomie und angrenzenden Fachgebieten. Nach dem Wechsel von Bonn wird das Netzwerk nun am Luxembourg Institute of Socio-Economic Research (LISER) koordiniert.

Über das IZA@LISER Network
Contact
IZA Network (Current Site Operator):

Luxembourg Institute of Socio-Economic Research (LISER)
11, Porte des Sciences
Maison des Sciences Humaines
L-4366 Esch-sur-Alzette / Belval, Luxembourg

IZA Institute (In Liquidation):

Forschungsinstitut zur Zukunft der Arbeit GmbH i. L.
Schaumburg-Lippe-Str. 5-9, 53113 Bonn. Germany
Phone: +49 228 3894-0 | Fax: +49 228 3894-510
E-Mail: info@iza.org | Web: www.iza.org
Represented by: Martin T. Clemens (Liquidator)