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Health Information and Well-Being: Evidence from an Asymptomatic Disease

Author

Listed:
  • Dahlberg, Matz

    (Institute for Housing and Urban Research)

  • Mani, Kevin

    (Department of Surgical Sciences)

  • Öhman, Mattias

    (Department of Economics)

  • Wanhainen, Anders

    (Department of Surgical Sciences)

Abstract

We examine how health information affects individuals' subjective well-being using a regression discontinuity design on data from a screening program for an asymptomatic disease, abdominal aortic aneurysm (AAA). The information provided to the individuals is guided by the measured aorta size and its relation to pre-determined levels. When comparing individuals that receive information that they are healthy with those that receive information that they are in the risk zone for AAA, we find no effects. However, when comparing those that receive information that they have a small AAA, and will be under increased surveillance, with those who receive information that they are in the risk zone, we find a weak positive effect on well-being. This indicates that the information about increased surveillance (positive) may outweigh the information about worse health (negative).

Suggested Citation

  • Dahlberg, Matz & Mani, Kevin & Öhman, Mattias & Wanhainen, Anders, 2016. "Health Information and Well-Being: Evidence from an Asymptomatic Disease," Working Paper Series 2016:2, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uunewp:2016_002
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    References listed on IDEAS

    as
    1. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
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    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    4. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    5. Slemrod, Joel & Blumenthal, Marsha & Christian, Charles, 2001. "Taxpayer response to an increased probability of audit: evidence from a controlled experiment in Minnesota," Journal of Public Economics, Elsevier, vol. 79(3), pages 455-483, March.
    6. Zhao, Meng & Konishi, Yoshifumi & Glewwe, Paul, 2013. "Does information on health status lead to a healthier lifestyle? Evidence from China on the effect of hypertension diagnosis on food consumption," Journal of Health Economics, Elsevier, vol. 32(2), pages 367-385.
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    Cited by:

    1. Spencer Bastani & Tomer Blumkin & Luca Micheletto, 2016. "Anti-discrimination Legislation and the Efficiency-Enhancing Role of Mandatory Parental Leave," Working Papers 088, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    2. Mattan Alalouf & Sarah Miller & Laura R. Wherry, 2019. "What Difference Does a Diagnosis Make? Evidence from Marginal Patients," NBER Working Papers 26363, National Bureau of Economic Research, Inc.
    3. Tiantian Dai & Shenyi Jiang & Xiangbo Liu & Ang Sun, 2022. "The effects of a hypertension diagnosis on health behaviors: A two‐dimensional regression discontinuity analysis," Health Economics, John Wiley & Sons, Ltd., vol. 31(4), pages 574-596, April.

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    More about this item

    Keywords

    Information; Health; Screening; Abdominal Aortic Aneurysm;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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