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Evaluating alternative approaches for predicting pension benefits and incentives

  • David Knapp (a1), Maciej Lis (a2), Jinkook Lee (a3) and Drystan Phillips (a3)

Abstract

In an effort to promote comparative research on pensions, the Gateway to Global Aging Data is developing harmonized cross-national panel data on pension benefits and retirement incentives. Past research has varied in how it predicts pension benefits for individuals who have not yet claimed their benefits when administrative data on earnings histories is unavailable. We use the Gateway data to evaluate several alternative approaches to computing prospective pension benefits using common survey questions and validate them against matched administrative data. We find that in some settings naïve measures of pension benefit growth from continued work and delayed benefit claiming can perform as well as measures based on administrative data. We also find that prospective benefit levels are sensitive to the heterogeneity of lifecycle earnings dynamics, resulting in substantial measurement error even after accounting for work history.

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Corresponding author

*Corresponding author. Email: dknapp@rand.org

References

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Angrisani, M and Lee, J (2012) Harmonization of Cross-National Studies of Aging to the Health and Retirement Study: Income Measures. Santa Monica, CA. Available at http://www.rand.org/pubs/working_papers/WR861z5.html.
Banks, J, Blake, M, Clemens, S, Marmot, M, Nazroo, J, Oldfield, Z, Oskala, A, Phelps, A, Rogers, N and Steptoe, A (2018) English Longitudinal Study of Ageing: Waves 0–8, 1998–2017. [data collection]. 28th Edition. UK Data Service. SN: 5050. Available at http://doi.org/10.5255/UKDA-SN-5050-15.
Bozio, A, Crawford, R and Tetlow, G (2010) The History of State Pensions in the UK: 1948 to 2010. London. Available at https://www.ifs.org.uk/publications/5000.
Carone, G, Eckefeldt, P, Giamboni, L, Laine, V and Pamies Sumner, SS (2016) Pension Reforms in the EU since the Early 2000's: Achievements and Challenges Ahead. Available at https://ec.europa.eu/info/sites/info/files/dp042_en.pdf.
Gruber, J and Wise, DA (1999) Social Security and Retirement Around the World. Chicago, IL: University of Chicago Press.
Gruber, J and Wise, DA (2004) Social Security Programs and Retirement Around the World: Micro-Estimation. Chicago, IL: University of Chicago Press.
Gustman, AL and Steinmeier, TL (1986) A structural retirement model. Econometrica 54, 555584.
Haider, SJ and Solon, G (2000) Non Random Selection in the HRS Social Security Earnings Sample. Santa Monica, CA. Available at https://www.rand.org/pubs/drafts/DRU2254.html.
Hubbard, RG, Skinner, J and Zeldes, SP (1995) Precautionary saving and social insurance. Journal of Political Economy 103, 360399.
Kapteyn, A and Panis, C (2005) Institutions and savings for retirement: Comparing the United States, Italy, and The Netherlands. In Wise, DA (ed.) Analyses in the Economics of Aging. Chicago, IL: University of Chicago Press, pp. 281312.
Lagakos, D, Moll, B, Porzio, T, Qian, N and Schoellman, T (2017) Life cycle wage growth across countries. Journal of Political Economy 126, 797849.
Lazear, EP (1986) Chapter 5 retirement from the labor force. In Ashenfelter OC and Layard R (eds), Handbook of Labor Economics, vol. 1. Elsevier, pp. 305355.
Ruggles, S, Flood, S, Goeken, R, Grover, J, Meyer, E, Pacas, J and Sobek, M (2018) IPUMS USA: Version 8.0.
Stock, JH and Wise, DA (1990) Pensions, the option value of work, and retirement. Econometrica 58, 11511180.
Zamarro, G and Lee, J (2012) Harmonization of Cross-National Studies of Aging to the Health and Retirement Study: Employment and Retirement Measures. Santa Monica, CA. Available at http://www.rand.org/pubs/working_papers/WR861z4.html.

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Evaluating alternative approaches for predicting pension benefits and incentives

  • David Knapp (a1), Maciej Lis (a2), Jinkook Lee (a3) and Drystan Phillips (a3)

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