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Individual Investments in Education and Health

Author

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  • Snorre Kverndokk

    () (Ragnar Frisch Centre for Economic Research)

  • Jared C. Carbone

    () (Colorado School of Mines)

Abstract

Empirical studies show that years of schooling are positively correlated with good health, and that education is better correlated with health than with variables like occupation and income. This can be explained in different ways as the implication may go from education to health, from health to education, and there may be variables that influence health and education in the same direction. The effect of different policy instruments to reduce the social gradient in health will depend on the strength of these causalities. In this paper we formalize a model that simultaneously determines an individual’s demand for knowledge and health based on the mentioned causal effects. We study the impacts on both health and education of different policy instruments such as subsidies on medical care, subsidizing schooling, income tax reduction, lump sum transfers and improving health at young age. Our results indicate that income transfers such as distributional policies may be the best instrument to improve welfare, while subsidies to medical care is the best instrument for longevity. However, subsidies to medical care or education would require large imperfections in the markets for health and education to be more welfare improving than distributional policies. Finally, our simulations suggest that underlying factors that impact both health and education is the main explanation for the correlation shown empirically.

Suggested Citation

  • Snorre Kverndokk & Jared C. Carbone, 2015. "Individual Investments in Education and Health," CINCH Working Paper Series 1506, Universitaet Duisburg-Essen, Competent in Competition and Health, revised Jun 2015.
  • Handle: RePEc:duh:wpaper:1506
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    References listed on IDEAS

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    Cited by:

    1. Bolin, Kristian & Lindgren, Björn, 2016. "Non-monotonic health behaviours – implications for individual health-related behaviour in a demand-for-health framework," Journal of Health Economics, Elsevier, vol. 50(C), pages 9-26.
    2. Clarke, Damian & Mühlrad, Hanna, 2016. "The Impact of Abortion Legalization on Fertility and Maternal Mortality: New Evidence from Mexico," Working Papers in Economics 661, University of Gothenburg, Department of Economics.
    3. Katerina Koka & Audrey Laporte & Brian Ferguson, 2014. "Theoretical Simulation in Health Economics: An application to Grossman's Model of Investment in Health Capital," Working Papers 140010, Canadian Centre for Health Economics.

    More about this item

    Keywords

    Demand for health; Demand for education; Human capital; Numerical modeling; Causality;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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