Abstract
In light of the recent concerns regarding the solvency of Social Security’s Old-Age, Survivors and Disability Insurance (OASDI), private pensions may play an increasingly important role in retirement welfare of US retirees. However, the private pension landscape has evolved in ways that may result in lower private pension wealth for retirees. One recent such phenomenon involves the conversion of traditional defined benefit pension plans to cash balance plans, which results in lower pension benefits for many workers. In this study, I investigated how characteristics of the firm’s workforce influenced whether the firm converted their traditional pension plan to a cash balance plan and how these characteristics related to the firm’s pension plan policy more generally. Using the Longitudinal Employer-Household Data and pension plan data from the Department of Labor/Internal Revenue Service and the Pension Benefit Guaranty Corporation, I found little evidence of workforce age distribution effects on the likelihood of DB plan conversion to a cash balance plan in the 1990s. More generally, I consistently found positive associations between firms with older and more female workforces and defined contribution plans during the same time.
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Notes
Most of these conversions occurred in the 1990s. The IRS issued a moratorium on cash balance conversions in 1999. The 2006 Pension Protection Act remedied many of the perceived problems with these conversions and the moratorium was lifted in December 2006 (Pension Protection Act 2006).
The exception is Niehuas and Yu’s work (2005). Niehaus and Yu (2005) examined all DB plans that either were converted to a cash balance plan or were terminated and subsequently replaced by a defined contribution (DC) plan. They found that in this sample, firms with excess assets were more likely to convert during the 1990s.
Results available upon request.
The DOL reports that 5500 data prior to 1991 is unavailable due to data corruption. Though the first conversion was in 1985, most conversions occurred in the 1990s.
This restricts the analysis to firms located in the following states: California, Colorado, Florida, Idaho, Illinois, Maryland, Maine, Montana, North Carolina, New Jersey, New Mexico, Oregon, Texas, Virginia, Washington, and Wisconsin.
I chose age 44 as the cut-off due to the structure of the QWI data. For each firm, I know the number of employees in different age groups (<22, 22–34, 45–54, 55–64, and 65+). I wanted to capture the fraction of employees approaching retirement. As a robustness check, I also used the fraction of employees who are older than 54 years of age in all of the analysis. The results are consistent with those presented here.
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Any opinions and conclusions expressed herein are those of the author(s) and do not necessarily represent the views of the U.S. Census Bureau, the Department of Veteran Affairs, the position or the United States government. All results have been reviewed to ensure that no confidential information is disclosed.
This research reported herein was pursuant to a grant from the U.S. Social Security Administration (SSA) funded as part of the Retirement Research Consortium (RRC). The findings and conclusions expressed are solely those of the author and do not represent the views of SSA, the Department of Veterans Affairs, any agency of the Federal Government or the RRC. I am grateful to a Steven H. Sandell Grant from the Center for Retirement Research at Boston College. I also thank Charlie Brown, Robert Costrell and seminar participants the Labor and Employment Relations Association for comments on an earlier version of this paper. This research uses data from the Census Bureau's Longitudinal Employer Household Dynamics Program, which was partially supported by the following National Science Foundation Grants SES-9978093, SES-0339191 and ITR-0427889; National Institute on Aging Grant AG018854; and grants from the Alfred P. Sloan Foundation.
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Kapinos, K. Changes in Firm Pension Policy: Trends Away from Traditional Defined Benefit Plans. J Labor Res 33, 91–103 (2012). https://doi.org/10.1007/s12122-011-9126-5
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DOI: https://doi.org/10.1007/s12122-011-9126-5