IDEAS home Printed from https://ideas.repec.org/p/umc/wpaper/1111.html
   My bibliography  Save this paper

How Teachers Respond to Pension System Incentives: New Estimates and Policy Applications

Author

Abstract

The costs of state and local pension plans have been a source of fiscal stress in many states and communities. This has led legislatures to consider major changes in these plans. In order to assess the fiscal and staffing consequences of plan changes it is important to develop reliable statistical models of employee retirement behavior. Structural models are valuable in this regard since the proposed reforms often involve fundamental changes in plan design such as a transition from a defined benefit (DB) to a defined contribution (DC) or hybrid plan. In this paper the authors estimate a structural model of teacher retirement behavior using administrative panel data. They show that the Stock-Wise (1990) option value model provides a good fit to the data and predicts well out-of-sample when used to forecast the effect of pension enhancements during the 1990's. The structural model is used to simulate the effect of several DC alternatives to the current DB plan.

Suggested Citation

  • Shawn Ni & Michael Podgursky, 2011. "How Teachers Respond to Pension System Incentives: New Estimates and Policy Applications," Working Papers 1111, Department of Economics, University of Missouri, revised 20 Jan 2015.
  • Handle: RePEc:umc:wpaper:1111
    as

    Download full text from publisher

    File URL: https://economics.missouri.edu/working-papers/2011/wp1111_ni_podgursky.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. Eric A. Hanushek & EJohn F. Kain & Steven G. Rivkin, 2004. "Why Public Schools Lose Teachers," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    3. Berkovec, James & Stern, Steven, 1991. "Job Exit Behavior of Older Men," Econometrica, Econometric Society, vol. 59(1), pages 189-210, January.
    4. Gustman, Alan L & Steinmeier, Thomas L, 1986. "A Structural Retirement Model," Econometrica, Econometric Society, vol. 54(3), pages 555-584, May.
    5. Stinebrickner, Todd R, 2001. "A Dynamic Model of Teacher Labor Supply," Journal of Labor Economics, University of Chicago Press, vol. 19(1), pages 196-230, January.
    6. Robert M. Costrell & Michael Podgursky, 2009. "Peaks, Cliffs, and Valleys: The Peculiar Incentives in Teacher Retirement Systems and Their Consequences for School Staffing," Education Finance and Policy, MIT Press, vol. 4(2), pages 175-211, April.
    7. 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.
    8. Edward P. Lazear, 1985. "Incentive Effects of Pensions," NBER Chapters,in: Pensions, Labor, and Individual Choice, pages 253-282 National Bureau of Economic Research, Inc.
    9. 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.
    10. Leora Friedberg & Anthony Webb, 2005. "Retirement and the Evolution of Pension Structure," Journal of Human Resources, University of Wisconsin Press, vol. 40(2).
    11. Robin L. Lumsdaine & James H. Stock & David A. Wise, 1992. "Pension Plan Provisions and Retirement: Men & Women, Medicare, and Models," NBER Working Papers 4201, National Bureau of Economic Research, Inc.
    12. Joshua Furgeson & Robert P. Strauss & William B. Vogt, 2006. "The Effects of Defined Benefit Pension Incentives and Working Conditions on Teacher Retirement Decisions," Education Finance and Policy, MIT Press, vol. 1(3), pages 316-348, June.
    13. Stern, Steven, 1997. "Approximate Solutions to Stochastic Dynamic Programs," Econometric Theory, Cambridge University Press, vol. 13(03), pages 392-405, June.
    14. Richard J. Murnane & Randall J. Olsen, 1990. "The Effects of Salaries and Opportunity Costs on Length of Stay in Teaching: Evidence from North Carolina," Journal of Human Resources, University of Wisconsin Press, vol. 25(1), pages 106-124.
    15. 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.
    16. Courtney Coile & Jonathan Gruber, 2007. "Future Social Security Entitlements and the Retirement Decision," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 234-246, May.
    17. Asch, Beth & Haider, Steven J. & Zissimopoulos, Julie, 2005. "Financial incentives and retirement: evidence from federal civil service workers," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 427-440, February.
    18. 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

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dongwoo Kim & Cory Koedel & Shawn Ni & Michael Podgursky & Weiwei Wu, 2016. "Pensions and Late-Career Teacher Retention," Working Papers 2016-08, Department of Economics, University of Missouri, revised Jul 2017.

    More about this item

    Keywords

    teacher pensions; school staffing; school finance;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:umc:wpaper:1111. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Valerie Kulp). General contact details of provider: http://edirc.repec.org/data/edumous.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.