IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v191y2017icp9-18.html
   My bibliography  Save this article

Who provides inconsistent reports of their health status? The importance of age, cognitive ability and socioeconomic status

Author

Listed:
  • Black, Nicole
  • Johnston, David W.
  • Shields, Michael A.
  • Suziedelyte, Agne

Abstract

Self-assessed health (SAH) measures are widely used in models of health and health inequalities. Such models assume that SAH is a reliable measure of health status. We utilise a unique feature of a national longitudinal survey to examine the consistency of responses to a standard SAH question that is asked twice to the same individual in close temporal proximity in up to three waves (2001, 2009, and 2013). In particular, we analyse whether the consistency of responses varies with personal characteristics. The main analysis sample includes 18,834 individual-year observations. We find that 57% of respondents provide inconsistent reports at least once. Characteristics that are associated with significantly higher inconsistencies are age, education, cognitive ability, and time between responses. The results suggest that there are systematic differences in the ability of individuals’ to self-evaluate and summarise their own health. Consequently, failure to account for such error may lead to large estimation biases in models of health outcomes, particularly with respect to the relationship between education, cognitive ability, and health.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:socmed:v:191:y:2017:i:c:p:9-18
    DOI: 10.1016/j.socscimed.2017.08.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953617305130
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2017.08.032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    2. Marcel Kerkhofs & Maarten Lindeboom, 1995. "Subjective health measures and state dependent reporting errors," Health Economics, John Wiley & Sons, Ltd., vol. 4(3), pages 221-235, May.
    3. Hyslop, Dean R & Imbens, Guido W, 2001. "Bias from Classical and Other Forms of Measurement Error," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 475-481, October.
    4. Au, Nicole & Johnston, David W., 2014. "Self-assessed health: What does it mean and what does it hide?," Social Science & Medicine, Elsevier, vol. 121(C), pages 21-28.
    5. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
    6. Layes, Audrey & Asada, Yukiko & Kephart, George, 2012. "Whiners and deniers – What does self-rated health measure?," Social Science & Medicine, Elsevier, vol. 75(1), pages 1-9.
    7. Gabriella Conti & Stephen Pudney, 2011. "Survey Design and the Analysis of Satisfaction," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 1087-1093, August.
    8. Fabrice Etilé & Carine Milcent, 2006. "Income‐related reporting heterogeneity in self‐assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981, September.
    9. Teresa Bago d'Uva & Maarten Lindeboom & Owen O'Donnell & Eddy van Doorslaer, 2011. "Education‐related inequity in healthcare with heterogeneous reporting of health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 639-664, July.
    10. Suziedelyte, Agne & Johar, Meliyanni, 2013. "Can you trust survey responses? Evidence using objective health measures," Economics Letters, Elsevier, vol. 121(2), pages 163-166.
    11. Holford, Angus J. & Pudney, Stephen, 2015. "Survey Design and the Determinants of Subjective Wellbeing: An Experimental Analysis," IZA Discussion Papers 8760, Institute of Labor Economics (IZA).
    12. Sendhil Mullainathan & Marianne Bertrand, 2001. "Do People Mean What They Say? Implications for Subjective Survey Data," American Economic Review, American Economic Association, vol. 91(2), pages 67-72, May.
    13. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    14. Lumsdaine, Robin L. & Exterkate, Anneke, 2013. "How survey design affects self-assessed health responses in the Survey of Health, Ageing, and Retirement in Europe (SHARE)," European Economic Review, Elsevier, vol. 63(C), pages 299-307.
    15. Kathryn H. Anderson & Richard V. Burkhauser, 1985. "The Retirement-Health Nexus: A New Measure of an Old Puzzle," Journal of Human Resources, University of Wisconsin Press, vol. 20(3), pages 315-330.
    16. Gunasekara, Fiona Imlach & Carter, Kristie & Blakely, Tony, 2012. "Comparing self-rated health and self-assessed change in health in a longitudinal survey: Which is more valid?," Social Science & Medicine, Elsevier, vol. 74(7), pages 1117-1124.
    17. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
    18. Mark Wooden, 2013. "The Measurement of Cognitive Ability in Wave 12 of the HILDA Survey," Melbourne Institute Working Paper Series wp2013n44, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    19. Meer, Jonathan & Miller, Douglas L. & Rosen, Harvey S., 2003. "Exploring the health-wealth nexus," Journal of Health Economics, Elsevier, vol. 22(5), pages 713-730, September.
    20. William H. Greene & Mark N. Harris & Bruce Hollingsworth, 2015. "Inflated Responses in Measures of Self-Assessed Health," American Journal of Health Economics, MIT Press, vol. 1(4), pages 461-493, Fall.
    21. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
    22. Crossley, Thomas F. & Kennedy, Steven, 2002. "The reliability of self-assessed health status," Journal of Health Economics, Elsevier, vol. 21(4), pages 643-658, July.
    23. Maarten Lindeboom & Marcel Kerkhofs, 2009. "Health and work of the elderly: subjective health measures, reporting errors and endogeneity in the relationship between health and work," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 1024-1046.
    24. John Bound, 1991. "Self-Reported Versus Objective Measures of Health in Retirement Models," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 106-138.
    25. Philip M. Clarke & Chris Ryan, 2006. "Self‐reported health: reliability and consequences for health inequality measurement," Health Economics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-652, June.
    26. Rucker C. Johnson, 2010. "The Health Returns of Education Policies from Preschool to High School and Beyond," American Economic Review, American Economic Association, vol. 100(2), pages 188-194, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Linkun & Clarke, Philip M. & Petrie, Dennis J. & Staub, Kevin E., 2021. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Journal of Health Economics, Elsevier, vol. 78(C).
    2. David W. Johnston & Claryn S. J. Kung & Michael A. Shields, 2021. "Who is resilient in a time of crisis? The importance of financial and non‐financial resources," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3051-3073, December.
    3. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    4. Spitzer, Sonja & Shaikh, Mujaheed, 2022. "Health misperception and healthcare utilisation among older Europeans," The Journal of the Economics of Ageing, Elsevier, vol. 22(C).
    5. Urwin, Sean & Lau, Yiu-Shing & Grande, Gunn & Sutton, Matt, 2021. "The extent and predictors of discrepancy between provider and recipient reports of informal caregiving," Social Science & Medicine, Elsevier, vol. 277(C).
    6. Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2023. "Is inconsistent reporting of self-assessed health persistent and systematic? Evidence from the UKHLS," Economics & Human Biology, Elsevier, vol. 49(C).
    7. Perales, Francisco, 2018. "The cognitive roots of prejudice towards same-sex couples: An analysis of an Australian national sample," Intelligence, Elsevier, vol. 68(C), pages 117-127.
    8. Nesson, Erik T. & Robinson, Joshua J., 2019. "On the measurement of health and its effect on the measurement of health inequality," Economics & Human Biology, Elsevier, vol. 35(C), pages 207-221.
    9. Sefa Awaworyi Churchill & Siew Ling Yew & Thi Minh Thu Nguyen, 2022. "Health status and housing tenure decisions of older Australians," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(4), pages 966-989, December.
    10. Reisinger, James, 2022. "Subjective well-being and social desirability," Journal of Public Economics, Elsevier, vol. 214(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2023. "Is inconsistent reporting of self-assessed health persistent and systematic? Evidence from the UKHLS," Economics & Human Biology, Elsevier, vol. 49(C).
    2. Au, N. & Johnston, D. W., 2013. "An econometric analysis of self-assessed health: what does it mean and what is it hiding?," Health, Econometrics and Data Group (HEDG) Working Papers 13/31, HEDG, c/o Department of Economics, University of York.
    3. Greene, William & Harris, Mark N. & Knott, Rachel & Rice, Nigel, 2023. "Reporting heterogeneity in modeling self-assessed survey outcomes," Economic Modelling, Elsevier, vol. 124(C).
    4. Beni­tez-Silva, Hugo & Ni, Huan, 2008. "Health status and health dynamics in an empirical model of expected longevity," Journal of Health Economics, Elsevier, vol. 27(3), pages 564-584, May.
    5. Pfarr, Christian & Schmid, Andreas & Schneider, Udo, 2011. "Reporting Heterogeneity in Self-Assessed Health among Elderly Europeans: The Impact of Mental and Physical Health Status," MPRA Paper 29900, University Library of Munich, Germany.
    6. Black, Nicole & Johnston, David W. & Suziedelyte, Agne, 2017. "Justification bias in self-reported disability: New evidence from panel data," Journal of Health Economics, Elsevier, vol. 54(C), pages 124-134.
    7. Nesson, Erik T. & Robinson, Joshua J., 2019. "On the measurement of health and its effect on the measurement of health inequality," Economics & Human Biology, Elsevier, vol. 35(C), pages 207-221.
    8. Gimenez-Nadal, J. Ignacio & Molina, Jose Alberto, 2015. "Health status and the allocation of time: Cross-country evidence from Europe," Economic Modelling, Elsevier, vol. 46(C), pages 188-203.
    9. Juergen Jung, 2022. "Estimating transition probabilities between health states using US longitudinal survey data," Empirical Economics, Springer, vol. 63(2), pages 901-943, August.
    10. Johnston, David W. & Propper, Carol & Shields, Michael A., 2009. "Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient," Journal of Health Economics, Elsevier, vol. 28(3), pages 540-552, May.
    11. Au, Nicole & Johnston, David W., 2014. "Self-assessed health: What does it mean and what does it hide?," Social Science & Medicine, Elsevier, vol. 121(C), pages 21-28.
    12. Udo Schneider & Christian Pfarr & Brit Schneider & Volker Ulrich, 2012. "I feel good! Gender differences and reporting heterogeneity in self-assessed health," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(3), pages 251-265, June.
    13. Chen, Linkun & Clarke, Philip M. & Petrie, Dennis J. & Staub, Kevin E., 2021. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Journal of Health Economics, Elsevier, vol. 78(C).
    14. J. Ignacio Gimenez-Nadal & Jose Alberto Molina, 2016. "Health inequality and the uses of time for workers in Europe: policy implications," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
    15. Laura Rossouw & Teresa Bago d’Uva & Eddy Doorslaer, 2018. "Poor Health Reporting? Using Anchoring Vignettes to Uncover Health Disparities by Wealth and Race," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1935-1956, October.
    16. Costa-Font, Joan & Hernández-Quevedo, Cristina, 2012. "Measuring inequalities in health: What do we know? What do we need to know?," Health Policy, Elsevier, vol. 106(2), pages 195-206.
    17. Mark N. Harris & Xueyan Zhao & Eugenio Zucchelli, 2021. "Ageing Workforces, Ill‐health and Multi‐state Labour Market Transitions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 199-227, February.
    18. Maite Blázquez & Elena Cottini & Ainhoa Herrarte, 2014. "The socioeconomic gradient in health: how important is material deprivation?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 239-264, June.
    19. Nigel Rice & Jennifer Roberts & Andrew M. Jones, 2006. "Sick of work or too sick to work? Evidence on health shocks and early retirement from the BHPS," Health, Econometrics and Data Group (HEDG) Working Papers 06/13, HEDG, c/o Department of Economics, University of York.
    20. Kaneva, Maria & Baidin, Valerii, 2018. "Heterogeneity in reporting self-assessed health of the Russians," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 51, pages 102-125.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:191:y:2017:i:c:p:9-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.