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Can you trust survey responses? Evidence using objective health measures

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  • Suziedelyte, Agne
  • Johar, Meliyanni

Abstract

We investigate the common assumption in applied research that reporting errors are negligible in variables where there is no clear incentive for misreporting. Using major medical operations, we find high misreporting rates, but the coefficients of their predictors remain unbiased.

Suggested Citation

  • Suziedelyte, Agne & Johar, Meliyanni, 2013. "Can you trust survey responses? Evidence using objective health measures," Economics Letters, Elsevier, vol. 121(2), pages 163-166.
    • Handle: RePEc:eee:ecolet:v:121:y:2013:i:2:p:163-166
    DOI: 10.1016/j.econlet.2013.07.027
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    Cited by:

    1. Perry Singleton & Ling Li, 2016. "A Framework for Measurement Error in Self-Reported Health Conditions," Center for Policy Research Working Papers 191, Center for Policy Research, Maxwell School, Syracuse University.
    2. Black, Nicole & Johnston, David W. & Shields, Michael A. & Suziedelyte, Agne, 2017. "Who provides inconsistent reports of their health status? The importance of age, cognitive ability and socioeconomic status," Social Science & Medicine, Elsevier, vol. 191(C), pages 9-18.
    3. Anna Choi & John Cawley, 2018. "Health disparities across education: The role of differential reporting error," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 1-29, March.
    4. Lee, Yong-Woo, 2016. "State Dependence, Unobserved Heterogeneity, And Health Dynamics In Korea," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 57(2), pages 195-221, December.
    5. Bertha Maya Sopha, 2013. "Sustainable Paper Consumption: Exploring Behavioral Factors," Social Sciences, MDPI, vol. 2(4), pages 1-14, November.
    6. Nakamura, Sayaka, 2014. "Parental income and child health in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 32(C), pages 42-55.
    7. Harris, Matthew C., 2017. "Imperfect information on physical activity and caloric intake," Economics & Human Biology, Elsevier, vol. 26(C), pages 112-125.
    8. Ilke Onur & Malathi Velamuri, 2018. "The gap between self-reported and objective measures of disease status in India," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.

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    Keywords

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • I1 - Health, Education, and Welfare - - Health
    • I2 - Health, Education, and Welfare - - Education

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