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What can we learn from (and about) global aging?

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  • Arie Kapteyn

Abstract

Although aging is a global phenomenon, there are large differences across countries in both the speed of aging and the current state they are in. Furthermore countries adopt vastly different policies. This creates a natural laboratory that scientists can use to understand how policies affect outcomes. This paper discusses under what circumstances data from different countries can be used for inference about policy effects. Although currently comparable health and retirement data are being collected in some 25 countries, the use of such data requires careful modeling of differences in institutions and in response styles across countries.
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  • Arie Kapteyn, 2010. "What can we learn from (and about) global aging?," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 191-209, March.
    • Handle: RePEc:spr:demogr:v:47:y:2010:i:1:p:s191-s209
    DOI: 10.1353/dem.2010.0006
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    References listed on IDEAS

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    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.
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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. Chen, Brian K. & Jalal, Hawre & Hashimoto, Hideki & Suen, Sze-chuan & Eggleston, Karen & Hurley, Michael & Schoemaker, Lena & Bhattacharya, Jay, 2016. "Forecasting trends in disability in a super-aging society: Adapting the Future Elderly Model to Japan," The Journal of the Economics of Ageing, Elsevier, vol. 8(C), pages 42-51.
    3. Bongoh Kye & Erika Arenas & Graciela Teruel & Luis Rubalcava, 2014. "Education, Elderly Health, and Differential Population Aging in South Korea: A Demographic Approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(26), pages 753-794.
    4. Cabus, Sofie J. & De Witte, Kristof, 2012. "Naming and shaming in a ‘fair’ way. On disentangling the influence of policy in observed outcomes," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 767-787.
    5. 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.
    6. 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).
    7. Jinkook Lee, 2010. "Data sets on pensions and health: Data collection and sharing for policy design," International Social Security Review, John Wiley & Sons, vol. 63(3‐4), pages 197-222, July.
    8. Hanna Grol-Prokopczyk, 2018. "In Pursuit of Anchoring Vignettes That Work: Evaluating Generality Versus Specificity in Vignette Texts," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(1), pages 54-63.
    9. Hanna Grol-Prokopczyk & Emese Verdes-Tennant & Mary McEniry & Márton Ispány, 2015. "Promises and Pitfalls of Anchoring Vignettes in Health Survey Research," Demography, Springer;Population Association of America (PAA), vol. 52(5), pages 1703-1728, October.

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