IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03463422.html
   My bibliography  Save this paper

Does Self-Assessed Health Reflect the True Health State?

Author

Listed:
  • Pavitra Paul

    (CNRS, UMIFRE 20 CSH, CNRS-MAE - Partenaires INRAE, Yerevan State Medical University)

  • Ulrich Nguemdjo

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, LPED - Laboratoire Population-Environnement-Développement - IRD - Institut de Recherche pour le Développement - AMU - Aix Marseille Université)

  • Natalia Kovtun

    (Taras Shevchenko National University of Kyiv)

  • Bruno Ventelou

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

Self-assessed health (SAH) is a widely used tool to estimate population health. However, the debate continues as to what exactly this ubiquitous measure of social science research means for policy conclusions. This study is aimed at understanding the tenability of the construct of SAH by simultaneously modelling SAH and clinical morbidity. Using data from 17 waves (2001–2017) of the Russian Longitudinal Monitoring Survey, which captures repeated response for SAH and frequently updates information on clinical morbidity, we operationalise a recursive semi-ordered probit model. Our approach allows for the estimation of the distributional effect of clinical morbidity on perceived health. This study establishes the superiority of inferences from the recursive model. We illustrated the model use for examining the endogeneity problem of perceived health for SAH, contributing to population health research and public policy development, in particular, towards the organisation of health systems.

Suggested Citation

  • Pavitra Paul & Ulrich Nguemdjo & Natalia Kovtun & Bruno Ventelou, 2021. "Does Self-Assessed Health Reflect the True Health State?," Post-Print hal-03463422, HAL.
    • Handle: RePEc:hal:journl:hal-03463422
    DOI: 10.3390/ijerph182111153
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03463422
    as

    Download full text from publisher

    File URL: https://amu.hal.science/hal-03463422/document
    Download Restriction: no
    File URL: https://libkey.io/10.3390/ijerph182111153?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Guillem López-Casasnovas & Marc Saez, 2020. "Saved by Wealth? Income, Wealth, and Self-Perceived Health in Spain during the Financial Crisis," IJERPH, MDPI, vol. 17(19), pages 1-20, September.
    3. 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.
    4. 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.
    5. Cristina Hernandez-Quevedo & Andrew M Jones & Nigel Rice, "undated". "Reporting Bias and Heterogeneity in Self-Assessed Health. Evidence from the British Household Panel Survey," Discussion Papers 04/18, Department of Economics, University of York.
    6. Bailis, Daniel S. & Segall, Alexander & Chipperfield, Judith G., 2003. "Two views of self-rated general health status," Social Science & Medicine, Elsevier, vol. 56(2), pages 203-217, January.
    7. Tao Zhang & Chaojie Liu & Ziling Ni, 2019. "Association of Access to Healthcare with Self-Assessed Health and Quality of Life among Old Adults with Chronic Disease in China: Urban Versus Rural Populations," IJERPH, MDPI, vol. 16(14), pages 1-14, July.
    8. Randall P. Ellis & Denzil G. Fiebig & Meliyanni Johar & Glenn Jones & Elizabeth Savage, 2013. "Explaining Health Care Expenditure Variation: Large‐Sample Evidence Using Linked Survey And Health Administrative Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1093-1110, September.
    9. 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.
    10. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521142373.
    11. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204.
    12. Hiroyuki Kawakatsu & Ann G. Largey, 2009. "EM algorithms for ordered probit models with endogenous regressors," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 164-186, March.
    13. Andrew M. Jones, 2007. "Identification of treatment effects in Health Economics," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1127-1131, November.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Greene, William & Harris, Mark N. & Knott, Rachel & Rice, Nigel, 2023. "Reporting heterogeneity in modeling self-assessed survey outcomes," Economic Modelling, Elsevier, vol. 124(C).
    3. 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.
    4. Mozhaeva, Irina, 2022. "Inequalities in utilization of institutional care among older people in Estonia," Health Policy, Elsevier, vol. 126(7), pages 704-714.
    5. 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.
    6. Rafael Sánchez, 2017. "Does a Mandatory Reduction of Standard Working Hours Improve Employees' Health Status?," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 56(1), pages 3-39, January.
    7. Nie, Peng & Wang, Lu & Dragone, Davide & Lu, Haiyang & Sousa-Poza, Alfonso & Ziebarth, Nicolas R., 2022. "“The better you feel, the harder you fall”: Health perception biases and mental health among Chinese adults during the COVID-19 pandemic," China Economic Review, Elsevier, vol. 71(C).
    8. Silvana Robone & Andrew Jones & Nigel Rice, 2011. "Contractual conditions, working conditions and their impact on health and well-being," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(5), pages 429-444, October.
    9. 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.
    10. 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.
    11. David Cantarero & Marta Pascual, 2005. "Regional Differences In Health In Spain - An Empirical Analysis," ERSA conference papers ersa05p551, European Regional Science Association.
    12. Patricia Cubí‐Mollá & Mireia Jofre‐Bonet & Victoria Serra‐Sastre, 2017. "Adaptation to health states: Sick yet better off?," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1826-1843, December.
    13. Groot, Wim & Maassen van den Brink, Henriette, 2007. "The health effects of education," Economics of Education Review, Elsevier, vol. 26(2), pages 186-200, April.
    14. Wim Groot & Henriëtte Maassen van den Brink, 2006. "The compensating income variation of cardiovascular disease," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1143-1148, October.
    15. Sarah Brown & Jennifer Roberts & Karl Taylor, 2010. "Reservation wages, labour market participation and health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 501-529, July.
    16. 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).
    17. Franco Peracchi & Claudio Rossetti, 2013. "The heterogeneous thresholds ordered response model: identification and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 703-722, June.
    18. Valerii Baidin & Christopher J. Gerry & Maria Kaneva, 2021. "How Self-Rated is Self-Rated Health? Exploring the Role of Individual and Institutional Factors in Reporting Heterogeneity in Russia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 675-696, June.
    19. repec:zbw:rwirep:0008 is not listed on IDEAS
    20. 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.
    21. García-Gómez, Pilar & Jones, Andrew M. & Rice, Nigel, 2010. "Health effects on labour market exits and entries," Labour Economics, Elsevier, vol. 17(1), pages 62-76, January.

    More about this item

    Keywords

    clinical morbidity; endogeneity; perceived health; recursive; semi-ordered; Russia;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hal:journl:hal-03463422. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.