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I know, therefore I am healthier? The role of education in health-related behaviors

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  • Daniela Escobar López

Abstract

To know how better economic conditions impact health-related choices is critical when formulating public policies that aim at improving the population’s health, both in terms of outcomes and habits. Through the use of two national surveys, we investigate the effect of one additional year of schooling on the amount of time of physical activity done per week, and on the servings consumed of fruits and vegetables per day, in urban Colombia. Furthermore, intending to find causal links, we exploited as a source of exogenous variation a change in regulation concerning basic education implemented in the 1970s, in a 2SLS framework. Our results suggest that higher levels of education have a positive impact on food consumption habits, and on the undertaking of physical activity, especially when it is done for leisure. Conversely, transport-motivated physical activity is unaffected by higher educational attainment, which points to the presence of protective factors in low SES individuals. For the consumption part, we find that access is a necessary condition for individuals to make healthy diet choices.

Suggested Citation

  • Daniela Escobar López, 2019. "I know, therefore I am healthier? The role of education in health-related behaviors," Documentos CEDE 17411, Universidad de los Andes, Facultad de Economía, CEDE.
    • Handle: RePEc:col:000089:017411
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    References listed on IDEAS

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    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Cawley, John & Ruhm, Christopher J., 2011. "The Economics of Risky Health Behaviors," Handbook of Health Economics, in: Mark V. Pauly & Thomas G. Mcguire & Pedro P. Barros (ed.), Handbook of Health Economics, volume 2, chapter 0, pages 95-199, Elsevier.
    3. Barbeau, E.M. & Krieger, N. & Soobader, M.-J., 2004. "Erratum: Working class matters: Socioeconomic disadvantage, race/ethnicity, gender, and smoking in NHIS 2000 (American Journal of Public Health (2004) 94 (296-278))," American Journal of Public Health, American Public Health Association, vol. 94(8), pages 1295-1295.
    4. Barbeau, E.M. & Krieger, N. & Soobader, M.-J., 2004. "Working Class Matters: Socioeconomic Disadvantage, Race/Ethnicity, Gender, and Smoking in NHIS 2000," American Journal of Public Health, American Public Health Association, vol. 94(2), pages 269-278.
    5. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    6. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    7. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
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    More about this item

    Keywords

    Health; behavior; education; urban; instrumental variables;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

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