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Pension Enhancements and Teacher Retirement Behavior

Author

Listed:
  • Wei Kong
  • Shawn Ni

    (Department of Economics, University of Missouri - Columbia)

  • Michael Podgursky

    (Department of Economics, University of Missouri - Columbia)

  • Weiwei Wu

Abstract

We examine how pension rule changes affect teacher retirement by estimating a structural retirement model on a large cohort of late career Missouri public school teachers. In so doing we address several statistical challenges that arise in estimating dynamic retirement models. The resulting estimates produce good in and out-of-sample fit. Counter-factual simulations suggest that Missouri's 1990s pension enhancements led to earlier retirement by about 0.4 years on average for the 1994 cohort and by more than one year in a steady state. Enhancements increased steady state pension liabilities by 16 percent for senior teachers.

Suggested Citation

  • Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2018. "Pension Enhancements and Teacher Retirement Behavior," Working Papers 1814, Department of Economics, University of Missouri.
    • Handle: RePEc:umc:wpaper:1814
    as

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    References listed on IDEAS

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    1. Harris, Douglas N. & Adams, Scott J., 2007. "Understanding the level and causes of teacher turnover: A comparison with other professions," Economics of Education Review, Elsevier, vol. 26(3), pages 325-337, June.
    2. John Rust & Christopher Phelan, 1997. "How Social Security and Medicare Affect Retirement Behavior in a World of Incomplete Markets," Econometrica, Econometric Society, vol. 65(4), pages 781-832, July.
    3. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
    4. Brown, Kristine M., 2013. "The link between pensions and retirement timing: Lessons from California teachers," Journal of Public Economics, Elsevier, vol. 98(C), pages 1-14.
    5. Robert Novy‐Marx & Joshua Rauh, 2011. "Public Pension Promises: How Big Are They and What Are They Worth?," Journal of Finance, American Finance Association, vol. 66(4), pages 1211-1249, August.
    6. Cory Koedel & Shawn Ni & Michael Podgursky, 2014. "Who Benefits from Pension Enhancements?," Education Finance and Policy, MIT Press, vol. 9(2), pages 165-192, March.
    7. Robert M. Costrell & Josh B. McGee, 2010. "Teacher Pension Incentives, Retirement Behavior, and Potential for Reform in Arkansas," Education Finance and Policy, MIT Press, vol. 5(4), pages 492-518, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Dongwoo Kim & Cory Koedel & Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2021. "Pensions and Late-Career Teacher Retention," Education Finance and Policy, MIT Press, vol. 16(1), pages 42-65, Winter.
    2. Quinby, Laura D. & Wettstein, Gal, 2021. "Do deferred benefit cuts for current employees increase separation?," Labour Economics, Elsevier, vol. 73(C).
    3. Shawn Ni & Michael Podgursky & Xiqian Wang, 2022. "Teacher Pension Plan Incentives, Retirement Decisions, and Workforce Quality," Journal of Human Resources, University of Wisconsin Press, vol. 57(1), pages 272-303.
    4. Kaifala, Gabriel B. & Paisey, Catriona & Paisey, Nicholas J., 2021. "The UK pensions landscape – A critique of the role of accountants and accounting technologies in the treatment of social and societal risks," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 75(C).

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    More about this item

    Keywords

    teachers' pensions; sample selection bias; expectation of policy rules;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

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