IDEAS home Printed from https://ideas.repec.org/p/idb/brikps/3957.html
   My bibliography  Save this paper

Health Perceptions in Latin America

Author

Listed:
  • Lora, Eduardo

Abstract

This is the first study that uniformly analyzes health perceptions in all of Latin America and tests in a systematic way their relation to economic conditions at the country, income group and individual levels. The study uses three types of health self-assessment questions: i) health satisfaction; ii) health status on a scale of 0- 10; and iii) the EuroQol 5D instrument (EQ-5D), which asks about mobility, self- care, usual activities, pain/discomfort, and anxiety/depression. The empirical analysis finds support for the hypothesis that cultural differences between countries prevent cross-national comparisons of health perceptions, but it does not find support for the widely held view that the same applies within countries, presumably because the poor are more tolerant of their health problems.

Suggested Citation

  • Lora, Eduardo, 2011. "Health Perceptions in Latin America," IDB Publications (Working Papers) 3957, Inter-American Development Bank.
  • Handle: RePEc:idb:brikps:3957
    as

    Download full text from publisher

    File URL: https://publications.iadb.org/publications/english/document/Health-Perceptions-in-Latin-America.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. van Doorslaer, Eddy & Gerdtham, Ulf-G., 2003. "Does inequality in self-assessed health predict inequality in survival by income? Evidence from Swedish data," Social Science & Medicine, Elsevier, vol. 57(9), pages 1621-1629, November.
    2. Idler, E.L. & Angel, R.J., 1990. "Self-rated health and mortality in the NHANES-I epidemiologic follow-up study," American Journal of Public Health, American Public Health Association, vol. 80(4), pages 446-452.
    3. 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.
    4. Christopher J.L. Murray & Alan D. Lopez, 2000. "Progress and directions in refining the Global Burden of Disease approach: a response to Williams," Health Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 69-82, January.
    5. Christopher J. Ruhm, 2000. "Are Recessions Good for Your Health?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 617-650.
    6. Mossey, J.M. & Shapiro, E., 1982. "Self-rated health: a predictor of mortality among the elderly," American Journal of Public Health, American Public Health Association, vol. 72(8), pages 800-808.
    7. Angus Deaton, 2010. "Income, Aging, Health and Well-Being around the World: Evidence from the Gallup World Poll," NBER Chapters, in: Research Findings in the Economics of Aging, pages 235-263, National Bureau of Economic Research, Inc.
    8. 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.
    9. World Bank, 2007. "World Development Indicators 2007," World Bank Publications - Books, The World Bank Group, number 8150, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Health Perceptions in Latin America
      by Maximo Rossi in Wikiprogress América Latina on 2012-05-22 21:39:00

    Citations

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


    Cited by:

    1. Lora, Eduardo, 2013. "The Distance between Perception and Reality in the Social Domains of Life," IDB Publications (Working Papers) 4608, Inter-American Development Bank.
    2. Monica Raileanu Szeles, 2016. "Assessing the Effect of Economic Growth on Well-Being in the Eu-27. A Pareto-Optimum Approach," Working Papers of Institute for Economic Forecasting 161002, Institute for Economic Forecasting.
    3. Mujcic, Redzo & Frijters, Paul, 2015. "Conspicuous consumption, conspicuous health, and optimal taxation," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 59-70.
    4. H. Nicolás Acosta-González & Oscar D. Marcenaro-Gutiérrez, 2021. "The Relationship Between Subjective Well-Being and Self-Reported Health: Evidence from Ecuador," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(5), pages 1961-1981, October.
    5. Monica Răileanu Szeles, 2018. "Comparative Examination of Self-Perceived Health and Other Measures of the Quality of Life Across the EU-27," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 391-411, May.

    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. 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.
    2. Eduardo Lora, 2013. "The Distance between Perception and Reality in the Social Domains of Life," Research Department Publications IDB-WP-423, Inter-American Development Bank, Research Department.
    3. repec:dau:papers:123456789/13753 is not listed on IDEAS
    4. Liliya Leopold, 2019. "Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 763-784, April.
    5. 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).
    6. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375, March.
    7. Ziebarth, Nicolas, 2010. "Measurement of health, health inequality, and reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 71(1), pages 116-124, July.
    8. Florence Jusot & Sabine Mage & Marta Menendez, 2014. "Inequality of Opportunity in Health in Indonesia," Working Papers DT/2014/06, DIAL (Développement, Institutions et Mondialisation).
    9. 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.
    10. McFadden, E. & Luben, R. & Bingham, S. & Wareham, N. & Kinmonth, A.-L. & Khaw, K.-T., 2009. "Does the association between self-rated health and mortality vary by social class?," Social Science & Medicine, Elsevier, vol. 68(2), pages 275-280, January.
    11. Ivan Cipin & Sime Smolic, 2013. "Socio-Economic Determinants of Health in Croatia: Insights from Four Cross-Sectional Surveys," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 15(1), pages 25-60, April.
    12. Laudicella, Mauro & Cookson, Richard & Jones, Andrew M. & Rice, Nigel, 2009. "Health care deprivation profiles in the measurement of inequality and inequity: An application to GP fundholding in the English NHS," Journal of Health Economics, Elsevier, vol. 28(6), pages 1048-1061, December.
    13. Albertini, Julien & Fairise, Xavier & Terriau, Anthony, 2021. "Health, wealth, and informality over the life cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    14. Mayu Fujii & Takashi Oshio & Satoshi Shimizutani, 2014. "Self-rated Health Status of Japanese and Europeans in Later Life: Evidence from JSTAR and SHARE," The Japanese Economic Review, Japanese Economic Association, vol. 65(4), pages 483-498, December.
    15. Sime Smolic, 2017. "The determinants of health among the population aged 50 and over: evidence from Croatia," Public Sector Economics, Institute of Public Finance, vol. 41(1), pages 85-108.
    16. 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.
    17. Laura Rossouw & Teresa Bago d'Uva & Eddy van Doorslaer, 2017. "Poor Health Reporting? Using Vignettes to Recover the Health Gradient by Wealth," Tinbergen Institute Discussion Papers 17-031/V, Tinbergen Institute.
    18. Teresa García-Muñoz & Shoshana Neuman & Tzahi Neuman, 2014. "Subjective Health Status of the Older Population: Is It Related to Country-Specific Economic Development Measures?," Working Papers 2014-02, Bar-Ilan University, Department of Economics.
    19. Currie, Alison & Shields, Michael A. & Price, Stephen Wheatley, 2007. "The child health/family income gradient: Evidence from England," Journal of Health Economics, Elsevier, vol. 26(2), pages 213-232, March.
    20. Nicolas R. Ziebarth, 2009. "Measurement of Health, the Sensitivity of the Concentration Index, and Reporting Heterogeneity," SOEPpapers on Multidisciplinary Panel Data Research 211, DIW Berlin, The German Socio-Economic Panel (SOEP).
    21. 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.

    More about this item

    Keywords

    Health attitudes; Social surveys; Public opinion polls; Health satisfaction; Health states; Subjective wellbeing;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other

    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:idb:brikps:3957. 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: Felipe Herrera Library (email available below). General contact details of provider: https://edirc.repec.org/data/iadbbus.html .

    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.