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Estimating Dynamic Models of Quit Behavior: The Case of Military Reenlistment

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  • Daula, Thomas
  • Moffitt, Robert

Abstract

The authors estimate the effect of financial incentives for reenlistment on military retention rates using a stochastic dynamic programming model. They show that the computational burden of the model is relatively low even when estimated on panel data with unobserved heterogeneity. The estimates of the model show strong effects of military compensation, especially of retirement pay, on retention rates. The authors also compare their model with simpler-to-compute models and find that all give approximately the same fit but that their dynamic programming model gives more plausible predictions of policy measures that affect military and civilian compensation at future dates. Copyright 1995 by University of Chicago Press.

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Bibliographic Info

Article provided by University of Chicago Press in its journal Journal of Labor Economics.

Volume (Year): 13 (1995)
Issue (Month): 3 (July)
Pages: 499-523

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Handle: RePEc:ucp:jlabec:v:13:y:1995:i:3:p:499-523

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Cited by:
  1. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Manuel Santos, 2005. "Convergence Properties of the Likelihood of Computed Dynamic Models," Levine's Bibliography 122247000000000822, UCLA Department of Economics.
  2. 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.
  3. Le-Yu Chen, 2009. "Identification of structural dynamic discrete choice models," CeMMAP working papers CWP08/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  4. Saul Pleeter & John T. Warner, 2001. "The Personal Discount Rate: Evidence from Military Downsizing Programs," American Economic Review, American Economic Association, vol. 91(1), pages 33-53, March.
  5. Krebs, Tom & Maloney, William F., 1999. "Quitting and labor turnover : microeconomic evidence and macroeconomic consequences," Policy Research Working Paper Series 2068, The World Bank.
  6. Carrell, Scott E., 2007. "The national internal labor market encounters the local labor market: Effects on employee retention," Labour Economics, Elsevier, vol. 14(5), pages 774-787, October.
  7. Kerkhofs, Marcel & Lindeboom, Maarten & Theeuwes, Jules, 1998. "Retirement, financial incentives and health," Serie Research Memoranda 0042, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  8. Bradley M. Gray & James E. Grefer, 2012. "Career Earnings And Retention Of U.S. Military Physicians," Defence and Peace Economics, Taylor & Francis Journals, vol. 23(1), pages 51-76, February.
  9. Michael Hansen & Jennie Wenger, 2005. "Is the pay responsiveness of enlisted personnel decreasing?," Defence and Peace Economics, Taylor & Francis Journals, vol. 16(1), pages 29-43.
  10. Burkhauser, Richard V. & Butler, J. S. & Gumus, Gulcin, 2003. "Dynamic Modeling of the SSDI Application Timing Decision: The Importance of Policy Variables," IZA Discussion Papers 942, Institute for the Study of Labor (IZA).
  11. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, Elsevier.
  12. Burkhauser, Richard V. & Butler, J. S. & Gumus, Gulcin, 2003. "Option Value and Dynamic Programming Model Estimates of Social Security Disability Insurance Application Timing," IZA Discussion Papers 941, Institute for the Study of Labor (IZA).

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