IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v93y2023ics027277572200098x.html
   My bibliography  Save this article

Predicting teacher retention behavior: Ex ante prediction and ex post realization of a voluntary retirement incentive offer

Author

Listed:
  • Knapp, David
  • Hosek, James
  • Mattock, Michael G.
  • Asch, Beth J.

Abstract

Teacher retention and retirement decisions are increasingly affected by retirement benefits as the date of retirement eligibility approaches. As part of an effort to rein in operating costs, Chicago Public Schools sought to induce earlier retirement of senior, hence costlier, teachers by offering a voluntary retirement incentive that would be implemented only if enough teachers indicated their willingness to accept it. We used a structural model to predict teacher willingness to take the incentive, and later, when the number of teachers signing up was realized, we compared predictions to the outcomes. We found that the predicted number of willing takers would be less than required to implement the incentive, and this proved true. Further, the predictions were similar to the patterns of takers by age and year of service, though some differences were apparent. We discuss implications for using structural modeling to inform policy design.

Suggested Citation

  • Knapp, David & Hosek, James & Mattock, Michael G. & Asch, Beth J., 2023. "Predicting teacher retention behavior: Ex ante prediction and ex post realization of a voluntary retirement incentive offer," Economics of Education Review, Elsevier, vol. 93(C).
  • Handle: RePEc:eee:ecoedu:v:93:y:2023:i:c:s027277572200098x
    DOI: 10.1016/j.econedurev.2022.102325
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S027277572200098X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2022.102325?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    2. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-398, June.
    3. Robin L. Lumsdaine & James H. Stock & David A. Wise, 1992. "Three Models of Retirement: Computational Complexity versus Predictive Validity," NBER Chapters, in: Topics in the Economics of Aging, pages 21-60, National Bureau of Economic Research, Inc.
    4. Brown, Jeffrey R. & Weisbenner, Scott J., 2014. "Why do individuals choose defined contribution plans? Evidence from participants in a large public plan," Journal of Public Economics, Elsevier, vol. 116(C), pages 35-46.
    5. Eric French & John Bailey Jones, 2011. "The Effects of Health Insurance and Self‐Insurance on Retirement Behavior," Econometrica, Econometric Society, vol. 79(3), pages 693-732, May.
    6. Janet S. Hansen, 2010. "An Introduction to Teacher Retirement Benefits," Education Finance and Policy, MIT Press, vol. 5(4), pages 402-437, October.
    7. Michael P. Keane & Kenneth I. Wolpin, 2007. "Exploring The Usefulness Of A Nonrandom Holdout Sample For Model Validation: Welfare Effects On Female Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1351-1378, November.
    8. Pathak, Parag A. & Shi, Peng, 2021. "How well do structural demand models work? Counterfactual predictions in school choice," Journal of Econometrics, Elsevier, vol. 222(1), pages 161-195.
    9. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, vol. 96(5), pages 1384-1417, December.
    10. Gustman, Alan L. & Steinmeier, Thomas L., 2005. "The social security early entitlement age in a structural model of retirement and wealth," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 441-463, February.
    11. Ni, Shawn & Podgursky, Michael & Wang, Xiqian, 2022. "Teacher pension enhancements and staffing in an urban school district," Journal of Pension Economics and Finance, Cambridge University Press, vol. 21(4), pages 613-633, October.
    12. Shawn Ni & Michael Podgursky, 2016. "How Teachers Respond to Pension System Incentives: New Estimates and Policy Applications," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 1075-1104.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    14. van der Klaauw, Wilbert & Wolpin, Kenneth I., 2008. "Social security and the retirement and savings behavior of low-income households," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 21-42, July.
    15. David A. Wise, 1992. "Topics in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise92-1.
    16. Arcidiacono, Peter & Miller, Robert A., 2020. "Identifying dynamic discrete choice models off short panels," Journal of Econometrics, Elsevier, vol. 215(2), pages 473-485.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pathak, Parag A. & Shi, Peng, 2021. "How well do structural demand models work? Counterfactual predictions in school choice," Journal of Econometrics, Elsevier, vol. 222(1), pages 161-195.
    2. de Bresser, Jochem, 2021. "Evaluating the Accuracy of Counterfactuals The Role of Heterogeneous Expectations in Life Cycle Models," Other publications TiSEM a7e2b4d8-fed0-4e86-926f-d, Tilburg University, School of Economics and Management.
    3. de Bresser, Jochem, 2021. "Evaluating the Accuracy of Counterfactuals The Role of Heterogeneous Expectations in Life Cycle Models," Discussion Paper 2021-034, Tilburg University, Center for Economic Research.
    4. Blundell, R. & French, E. & Tetlow, G., 2016. "Retirement Incentives and Labor Supply," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 457-566, Elsevier.
    5. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    6. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    7. van der Klaauw, Wilbert & Wolpin, Kenneth I., 2008. "Social security and the retirement and savings behavior of low-income households," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 21-42, July.
    8. Thoresen, Thor O. & Vattø, Trine E., 2015. "Validation of the discrete choice labor supply model by methods of the new tax responsiveness literature," Labour Economics, Elsevier, vol. 37(C), pages 38-53.
    9. Eric French & John Bailey Jones, 2011. "The Effects of Health Insurance and Self‐Insurance on Retirement Behavior," Econometrica, Econometric Society, vol. 79(3), pages 693-732, May.
    10. Parag A. Pathak & Peng Shi, 2014. "Demand Modeling, Forecasting, and Counterfactuals, Part I," NBER Working Papers 19859, National Bureau of Economic Research, Inc.
    11. Sergi Jiménez-Martín & Alfonso R. Sánchez Martín, 2007. "An evaluation of the life cycle effects of minimum pensions on retirement behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 923-950.
    12. Meghan M. Skira, 2015. "Dynamic Wage And Employment Effects Of Elder Parent Care," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 63-93, February.
    13. Sergi Jiménez-Martín & Alfonso R Sánchez-Martín, 2006. "An evaluation of the life-cycle effects of minimum pensions on retirement behaviour: Extended Version," Working Papers 06.23, Universidad Pablo de Olavide, Department of Economics.
    14. Michele Belloni & Rob Alessie, 2013. "Retirement Choices in Italy: What an Option Value Model Tells Us," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(4), pages 499-527, August.
    15. Knapp, David & Lopez Garcia, Italo & Kumar, Krishna & Lee, Jinkook & Won, Jongwook, 2021. "A dynamic behavioral model of Korean saving, work, and benefit claiming decisions," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).
    16. Frank van Erp & Niels Vermeer & Daniel van Vuuren, 2013. "Non-financial determinants of retirement," CPB Discussion Paper 243.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    17. Thor O. Thoresen & Trine E. Vattø, 2013. "Validation of structural labor supply model by the elasticity of taxable income," Discussion Papers 738, Statistics Norway, Research Department.
    18. Frank van Erp & Niels Vermeer & Daniel van Vuuren, 2013. "Non-financial determinants of retirement," CPB Discussion Paper 243, CPB Netherlands Bureau for Economic Policy Analysis.
    19. Chiara Daniela Pronzato, 2015. "Fighting Lone Mothers’ Poverty Through In-Work Benefits: Methodological Issues and Policy Suggestions," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 95-122.
    20. Michael P. Keane, 2015. "Effects Of Permanent And Transitory Tax Changes In A Life‐Cycle Labor Supply Model With Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 485-503, May.

    More about this item

    Keywords

    Teacher compensation; Teacher labor supply; Structural models; Retirement incentives; Pension reform;
    All these keywords.

    JEL classification:

    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

    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:eee:ecoedu:v:93:y:2023:i:c:s027277572200098x. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.