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International Comparisons in Health Economics: Evidence from Aging Studies

Author

Listed:
  • James Banks

    (Institute for Fiscal Studies, WC1E 7AE London, United Kingdom
    School of Social Sciences, University of Manchester, M13 9PL Manchester, United Kingdom)

  • James P. Smith

    (RAND Corporation, Santa Monica, California 90407)

Abstract

We provide an overview of the growing literature that uses microlevel data from multiple countries to investigate health outcomes, and their link to socioeconomic factors, at older ages. Because the data are at a comparatively young stage, much of the analysis is at an early stage and limited to a handful of countries, with analysis for the United States and England being the most common. What is immediately apparent as we get better measures is that, between countries, health differences amongst those at older ages are real and large. Countries are ranked differently according to whether one considers life expectancy, prevalence, or the incidence of a specific condition. Moreover, the magnitude of international disparities may vary according to whether measures utilize doctor-diagnosed conditions or biomarker-based indicators of disease and poor health. But one key finding emerges—the United States ranks poorly on all indicators, with the exception of self-reported subjective health status.

Suggested Citation

  • James Banks & James P. Smith, 2012. "International Comparisons in Health Economics: Evidence from Aging Studies," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 57-81, July.
  • Handle: RePEc:anr:reveco:v:4:y:2012:p:57-81
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    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev-economics-080511-110944
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    Citations

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    Cited by:

    1. McGovern, Mark E., 2014. "Comparing the relationship between stature and later life health in six low and middle income countries," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 128-148.
    2. Banks, James & Brugiavini, Agar & Pasini, Giacomo, 2020. "The powerful combination of cross-country comparisons and life-history data," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    3. J. Gimenez-Nadal & Jose 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.
    4. Timothy J. Halliday & Bhashkar Mazumder & Ashley Wong, 2020. "The intergenerational transmission of health in the United States: A latent variables analysis," Health Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 367-381, March.
    5. Wang, Huixia & Wang, Chenggang & Halliday, Timothy J., 2018. "Health and health inequality during the great recession: Evidence from the PSID," Economics & Human Biology, Elsevier, vol. 29(C), pages 17-30.
    6. Timothy J. Halliday, 2017. "Earnings Growth and Movements in Self‐Reported Health," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 760-776, December.
    7. Ben Baumberg Geiger & René Böheim & Thomas Leoni, 2018. "The growing American health penalty: International trends in the employment of older workers with poor health," Department of Economics Working Papers wuwp271, Vienna University of Economics and Business, Department of Economics.
    8. James Banks & Iris Kesternich & James P. Smith, 2021. "International differences in interspousal health correlations," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1152-1177, May.
    9. Dobrescu, L.I. & Smith, J.P., 2016. "The HRS Around the World Surveys," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 993-1018, Elsevier.
    10. Maruyama, Shiko, 2015. "The effect of coresidence on parental health in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 35(C), pages 1-22.
    11. Mommaerts, Corina & Raza, Syed Hassan & Zheng, Yu, 2020. "The economic consequences of hospitalizations for older workers across countries," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    12. Ye Fan & Ming Fang & Xin Zhang & Yongda Yu, 2023. "Will the economic growth benefit public health? Health vulnerability, urbanization and COVID-19 in the USA," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 81-99, February.
    13. James Banks & Janet Currie & Sonya Krutikova & Kjell G. Salvanes & Hannes Schwandt, 2021. "The Evolution of Mortality Inequality in 11 OECD Countries: Introduction," Fiscal Studies, John Wiley & Sons, vol. 42(1), pages 9-23, March.

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    More about this item

    Keywords

    international data; policy; health outcomes; international;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • F00 - International Economics - - General - - - General

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