IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-00694448.html
   My bibliography  Save this paper

On the reliability of self-reported health: Evidence from Albanian data

Author

Listed:
  • Nicolas Gérard Vaillant

    (UMR CNRS 8179 - Université de Lille, Sciences et Technologies - CNRS - Centre National de la Recherche Scientifique, UCL - Université catholique de Lille)

  • François-Charles Wolff

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes, INED - Institut national d'études démographiques)

Abstract

This paper investigates the reliability of self-assessed measures of health using panel data collected in Albania by the World Bank in 2002, 2003 and 2004 through the Living Standard Measurement Study project. As the survey includes questions on a self-assessed measure of health and on more objective health problems, both types of information are combined with a view to understanding how respondents change their answers to the self-reported measures over time. Estimates from random effects ordered Probit models show that differences in self-reported subjective health between individuals are much more marked than those over time, suggesting a strong state dependence in subjective health status. The empirical analysis also reveals respondent consistency, from both a subjective and an objective viewpoint. Self-reported health is much more influenced by permanent shocks than by more transitory illness or injury.

Suggested Citation

  • Nicolas Gérard Vaillant & François-Charles Wolff, 2012. "On the reliability of self-reported health: Evidence from Albanian data," Working Papers hal-00694448, HAL.
  • Handle: RePEc:hal:wpaper:hal-00694448
    Note: View the original document on HAL open archive server: https://hal.science/hal-00694448
    as

    Download full text from publisher

    File URL: https://hal.science/hal-00694448/document
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Huong Thu Le & Ha Trong Nguyen, 2017. "Parental health and children's cognitive and noncognitive development: New evidence from the longitudinal survey of Australian children," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1767-1788, December.
    2. Sofia Xesfingi & Dimitrios Karamanis & Alexandra Kechrinioti, 2020. "Subjective Health Status and Immigration: Evidence across Europe," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 70(1-2), pages 3-19, January-J.
    3. 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.
    4. Wan Mashumi Wan Mustafa & Md. Aminul Islam & Muhammad Asyraf & Md. Sharif Hassan & Pradip Royhan & Shafiqur Rahman, 2023. "The Effects of Financial Attitudes, Financial Literacy and Health Literacy on Sustainable Financial Retirement Planning: The Moderating Role of the Financial Advisor," Sustainability, MDPI, vol. 15(3), pages 1-17, February.
    5. Chao Wang & Run Pu & Bishwajit Ghose & Shangfeng Tang, 2018. "Chronic Musculoskeletal Pain, Self-Reported Health and Quality of Life among Older Populations in South Africa and Uganda," IJERPH, MDPI, vol. 15(12), pages 1-13, December.
    6. Alan A Cohen & Qing Li & Emmanuel Milot & Maxime Leroux & Samuel Faucher & Vincent Morissette-Thomas & Véronique Legault & Linda P Fried & Luigi Ferrucci, 2015. "Statistical Distance as a Measure of Physiological Dysregulation Is Largely Robust to Variation in Its Biomarker Composition," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-25, April.
    7. Emma C. Sullivan & Elizabeth J. Halstead & Jason G. Ellis & Dagmara Dimitriou, 2021. "Anxiety, Insomnia, and Napping Predict Poorer Sleep Quality in an Autistic Adult Population," IJERPH, MDPI, vol. 18(18), pages 1-15, September.
    8. Yang, Qingqing & Rosenman, Robert, 2015. "Adjusting Self-Assessed Health for Potential Bias Using a Random-Effects Generalized Ordered Probit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205217, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    self-reported health; random effects ordered Probit; Albania;
    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:wpaper:hal-00694448. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.