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The Effect of Pension Design on Employer Costs and Employee Retirement Choices: Evidence from Oregon

In: Retirement Benefits for State and Local Employees: Designing Pension Plans for the Twenty-First Century

Author

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  • John Chalmers
  • Woodrow T. Johnson
  • Jonathan Reuter

Abstract

We use administrative data from Oregon's Public Employees Retirement System (PERS) to study the effect of pension design on employer costs and employee retirement-timing decisions. During our 1990–2003 sample period, PERS calculates each member's retirement benefit using up to three different formulas (defined benefit (DB), defined contribution (DC), and a combination of DB and DC), and PERS pays the maximum benefit for which the member is eligible. We show that this “maximum benefit” calculation results in average ex post retirement benefits that are 54% higher than if they had been calculated using only the DB formula and that employees receiving DC benefits are significantly more likely than employees receiving DB benefits to retire before the plan's normal retirement age. Monte Carlo simulations verify that the higher costs could have been predicted at the start of our sample period. Exploiting exogenous plan changes, we show that employees respond to within-year variation in their retirement incentives and, consistent with peer effects, that they respond more strongly to these incentives when more of their coworkers face similar incentives. Finally, consistent with the emerging literature on financial mistakes by households, we show that a small but noteworthy fraction of retirees would have benefited from shifting their retirements by as little as one month.
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Suggested Citation

  • John Chalmers & Woodrow T. Johnson & Jonathan Reuter, 2012. "The Effect of Pension Design on Employer Costs and Employee Retirement Choices: Evidence from Oregon," NBER Chapters, in: Retirement Benefits for State and Local Employees: Designing Pension Plans for the Twenty-First Century, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:13231
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    2. Louise Grogan & Fraser Summerfield, 2019. "Government Transfers, Work, and Wellbeing: Evidence from the Russian Old-Age Pension," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(4), pages 1247-1292, October.
    3. Francesco D'Acunto & Alberto G. Rossi & Michael Weber & Michael Weber, 2019. "Crowdsourcing financial information to change spending behavior," CESifo Working Paper Series 7533, CESifo.
    4. Touria Jaaidane & Robert J. Gary-Bobo, 2018. "The Evaluation of Pension Reforms in the Public Sector: A Case Study of the Paris Subway Drivers," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 174(2), pages 245-277, June.
    5. Chalmers, John & Reuter, Jonathan, 2020. "Is conflicted investment advice better than no advice?," Journal of Financial Economics, Elsevier, vol. 138(2), pages 366-387.
    6. Kronlund, Mathias & Pool, Veronika K. & Sialm, Clemens & Stefanescu, Irina, 2021. "Out of sight no more? The effect of fee disclosures on 401(k) investment allocations," Journal of Financial Economics, Elsevier, vol. 141(2), pages 644-668.
    7. Blaufus, Kay & Milde, Michael, 2018. "Learning to save tax-efficiently: Tax misperceptions and the effect of informational tax nudges on retirement savings," arqus Discussion Papers in Quantitative Tax Research 225, arqus - Arbeitskreis Quantitative Steuerlehre.
    8. Clark, Robert L. & Hanson, Emma & Mitchell, Olivia S., 2016. "Lessons for public pensions from Utah's move to pension choice," Journal of Pension Economics and Finance, Cambridge University Press, vol. 15(3), pages 285-310, July.
    9. Gustafson, Matthew T., 2017. "The market sensitivity of retirement and defined contribution pensions: Evidence from the public sector," Journal of Public Economics, Elsevier, vol. 145(C), pages 1-13.
    10. J. Michael Collins & Carly Urban, 2016. "The Role Of Information On Retirement Planning: Evidence From A Field Study," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1860-1872, October.
    11. Davidoff, Thomas & Gerhard, Patrick & Post, Thomas, 2017. "Reverse mortgages: What homeowners (don’t) know and how it matters," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 151-171.
    12. Mugerman, Yevgeny & Sade, Orly & Shayo, Moses, 2014. "Long term savings decisions: Financial reform, peer effects and ethnicity," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 235-253.
    13. Niels Vermeer, 2016. "Age Anchors and the Expected Retirement Age: An Experimental Study," De Economist, Springer, vol. 164(3), pages 255-279, September.
    14. Kim, Dongwoo, 2020. "Worker retirement responses to pension incentives: Do they respond to pension wealth?," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 365-385.

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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

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