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Lifetime Earnings Patterns, the Distribution of Future Social Security Benefits, and the Impact of Pension Reform

by Barry Bosworth, Gary Burtless, and Eugene Steurele

WP#1999-6  

Abstract

This paper describes an analysis of career earnings patterns developed for predicting the impact of Social Security reform. We produce estimates of age-earnings profiles of American men and women born between 1931 and 1960. The estimates are obtained using lifetime earnings records maintained by the Social Security Administration. We use a standard econometric approach to develop forecasts of future individual earnings, and we supplement these estimates by developing estimates of the shape and prevalence of nine stylized earnings patterns of U.S. workers. These two alternative approaches to estimating career earnings patterns have significant advantages over the traditional analytical approach of examining a small number of representative workers who are assumed to have steady earnings throughout their careers. Few workers have level career earnings, so the traditional approach to policy simulation represents a serious distortion of actual labor market experience. Moreover, differences in the pattern of career earnings can produce wide disparities in pension entitlements, even for workers with the same average earnings, under individual account and other retirement plans. Since defined-contribution pension plans are frequently proposed as a supplement or replacement for traditional Social Security, it is important that policy simulation be based on accurate representations of career earnings patterns.

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Barry Bosworth and Gary Burtless are Senior Fellows at The Brookings Institution. Eugene Steuerle is a Senior Fellow at The Urban Institute. The authors are indebted to John Coder, Stacy Sneeringer of the Brooking Institution and Adam Carasso of the Urban Institute for extensive assistance in producing this paper. The research reported herein was funded by the Social Security Administration, Office of Research, Evaluation, and Statistics, Division of Policy Evaluation (Contract No.: 600-96-27332), and the preparation of the paper was supported in part by the Center for Retirement Research at Boston College. We remain solely responsible for all errors. The views expressed are those of the authors and should not be ascribed to the Brookings Institution, Urban Institute, Social Security Administration, or Center for Retirement Research.
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