Estimating Pension Coverage Using Different Data Sets

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Estimating Pension Coverage Using Different Data Sets

Author Info

Geoffrey Sanzenbacher () (Center for Retirement Research, Boston College)

Abstract

Employer-provided pensions are an essential piece of the U.S. retirement income system. Calculating the percent of individuals covered by and participating in such plans as well as analyzing the changing nature of those plans is becoming an increasingly important exercise. A variety of data sets are available to estimate pension coverage and participation. Since deciding which data set to use is often not obvious, this Issue in Brief will examine five of them: the U.S. Department of Labor Form 5500 series, the Survey of Income and Program Participation (SIPP), the Current Population Survey (CPS), the Panel Study of Income Dynamics (PSID), and the Survey of Consumer Finances (SCF). The brief will describe the strengths and limitations of each data set and compare pension participation rates derived from each set.

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Paper provided by Center for Retirement Research in its series Issues in Brief with number ib2006-51.

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Length: 10 pages
Date of creation: Aug 2006
Date of revision: Aug 2006
Handle: RePEc:crr:issbrf:ib2006-51

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Marric Buessing & Mauricio Soto, 2006. "The State Of Private Pensions: Current 5500 Data," Issues in Brief ib42, Center for Retirement Research. [Downloadable!]
Other versions:
- Marric Buessing & Mauricio Soto, 2006. "The State of Private Pensions: Current 5500 Data," Issues in Brief ib2006-42, Center for Retirement Research, revised Feb 2006. [Downloadable!]

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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

James Poterba & Steven Venti & David A. Wise, 2007. "The Changing Landscape of Pensions in the United States," NBER Working Papers 13381, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)

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