2014
DOI: 10.1017/s1474747214000237
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How much do respondents in the health and retirement study know about their contributions to tax-deferred contribution plans? A cross-cohort comparison

Abstract: We use information from Social Security earnings records to examine the accuracy of survey responses regarding participation in tax-deferred pension plans. As employer-provided defined benefit pensions are replaced by voluntary contribution plans, employees’ understanding of the link between their annual contributions and their post-retirement wealth is becoming increasingly important. We examine the extent to which wage-earners in the Health and Retirement Study (HRS) correctly report their inclusion in tax-d… Show more

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Cited by 16 publications
(7 citation statements)
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“…Many who receive such income fail to report it. Other studies suggest that self-reports of retirement plan participation are underestimated as well (Dushi and Honig 2015). Thus, the estimates presented here may represent a lower bound of access to and participation in retirement plans.…”
Section: Regression Specificationmentioning
confidence: 67%
“…Many who receive such income fail to report it. Other studies suggest that self-reports of retirement plan participation are underestimated as well (Dushi and Honig 2015). Thus, the estimates presented here may represent a lower bound of access to and participation in retirement plans.…”
Section: Regression Specificationmentioning
confidence: 67%
“…Dropping high earners is reasonable when the goal is to determine the behavior of the broad mass of the population, less so when investigating inequality. Some studies attempt to eliminate state and local government workers from the sample (Cunningham and Engelhardt 2002;Dushi and Honig 2015), a treatment that will bias estimates of retirement wealth inequality, because state and local government workers have relatively generous pensions. Dushi and Honing (2010) includes state and local workers without attempting to adjust the Box 5-Box 1 calculation.…”
Section: Datamentioning
confidence: 99%
“…Dvorak and Hanley (2010) recorded a somewhat higher level of understanding of DC plans, though the authors note that survey selection bias and the sample pool (employees of a small liberal arts college) may have led them to overestimate understanding relative to the broader population. Using longitudinal data, Dushi and Honig (2015) reported better knowledge about inclusion in a DC scheme among the more recent cohort. However, conditional on inclusion, members of this cohort displayed no better knowledge than previous cohorts about the size of contributions and were equally inclined to systematic overestimation.…”
Section: Literature Review and Hypothesesmentioning
confidence: 99%