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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?," Working Papers WR-741, RAND Corporation.
    • Handle: RePEc:ran:wpaper:wr-741
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    1. van Soest, Arthur & Delaney, Liam & Harmon, Colm P. & Kapteyn, Arie & Smith, James P., 2007. "Validating the Use of Vignettes for Subjective Threshold Scales," IZA Discussion Papers 2860, Institute of Labor Economics (IZA).
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    Cited by:

    1. 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.
    2. 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).
    3. 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.
    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. 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.
    6. 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.
    7. 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.
    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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