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Determinants and Consequences of Health Behaviour: New Evidence from German Micro Data

Author

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  • Brit S. Schneider
  • Udo Schneider

Abstract

The economic costs of chronic health conditions and severe illnesses like diabetes, coronary heart disease or cancer are immense. Several clinical trials give information about the importance of individual behaviour for the prevalence of these illnesses. Changes in health relevant behaviour may therefore lead to a decline of avoidable illnesses and related health care costs. In this context, we use German micro data to identify determinants of smoking, drinking and obesity. Our empirical approach allows for the simultaneity between adverse health behaviour and self-reported health as a measure of the individual health capital stock. We can show that health behaviour is related to the socioeconomic status of an individual. Furthermore, we find gender-specific differences in behaviour as well as differences in the determinants of drinking, smoking and heavy body weight in particular.

Suggested Citation

  • Brit S. Schneider & Udo Schneider, 2009. "Determinants and Consequences of Health Behaviour: New Evidence from German Micro Data," SOEPpapers on Multidisciplinary Panel Data Research 253, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp253
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    References listed on IDEAS

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    Cited by:

    1. Brad R. Humphreys & Logan McLeod & Jane E. Ruseski, 2014. "Physical Activity And Health Outcomes: Evidence From Canada," Health Economics, John Wiley & Sons, Ltd., vol. 23(1), pages 33-54, January.
    2. Aue, Katja & Roosen, Jutta, 2010. "Poverty and health behaviour: Comparing socioeconomic status and a combined poverty indicator as a determinant of health behaviour," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116401, European Association of Agricultural Economists.
    3. Anderson M. A. dos Santos & Paulo de A. Jacinto & Victor R. de Oliveira & Pedro Henrique S. Leivas, 2019. "The impact of physical activity on women`s health: evidences for Brazil," Economics Bulletin, AccessEcon, vol. 39(4), pages 2381-2401.
    4. Jane E. Ruseski & Brad R. Humphreys, 2011. "Participation in Physical Activity and Health Outcomes: Evidence from the Canadian Community Health Survey," Chapters, in: Plácido Rodríguez & Stefan Késenne & Brad R. Humphreys (ed.), The Economics of Sport, Health and Happiness, chapter 1, Edward Elgar Publishing.
    5. Donata Bessey, 2021. "Testing a One-Item Risk Measure to Predict Alameda Seven Health Behaviors in the Republic of Korea," IJERPH, MDPI, vol. 18(1), pages 1-17, January.

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    More about this item

    Keywords

    Health behaviour; multivariate probit; education; labour force participation;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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