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Two Dynamic Discrete Choice Estimation Problems and Simulation Method Solutions

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  • Stern, Steven

Abstract

This paper considers two problems that frequently arise in dynamic discrete choice problems but have not received much attention with regard to simulation methods. The first problem is how to simulate unbiased simulators of probabilities conditional on past history. The second is simulating a discrete transition probability model when the underlying dependent variable is really continuous. Both methods work well relative to reasonable alternatives in the application discussed. However, in both cases, for this application, simpler methods also provide reasonably good results. Copyright 1994 by MIT Press.

Suggested Citation

  • Stern, Steven, 1994. "Two Dynamic Discrete Choice Estimation Problems and Simulation Method Solutions," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 695-702, November.
  • Handle: RePEc:tpr:restat:v:76:y:1994:i:4:p:695-702
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    References listed on IDEAS

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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Berkovec, James & Stern, Steven, 1991. "Job Exit Behavior of Older Men," Econometrica, Econometric Society, vol. 59(1), pages 189-210, January.
    3. Steven Stern, 1995. "Estimating Family Long-Term Care Decisions in the Presence of Endogenous Child Characteristics," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 551-580.
    4. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    5. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    6. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    7. Miller, Robert A, 1984. "Job Matching and Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 92(6), pages 1086-1120, December.
    8. Hsiao, Cheng, 1989. "Consistent estimation for some nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 41(1), pages 159-185, May.
    9. Axel Borsch-Supan & Daniel L. McFadden & Reinhold Schnabel, 1996. "Living Arrangements: Health and Wealth Effects," NBER Chapters,in: Advances in the Economics of Aging, pages 193-216 National Bureau of Economic Research, Inc.
    10. Butler, J S & Moffitt, Robert, 1982. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model," Econometrica, Econometric Society, vol. 50(3), pages 761-764, May.
    11. Geweke, John, 1988. "Antithetic acceleration of Monte Carlo integration in Bayesian inference," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 73-89.
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    Cited by:

    1. Hiedemann, Bridget & Stern, Steven, 1999. "Strategic play among family members when making long-term care decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 40(1), pages 29-57, September.
    2. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 343-376, December.
    3. Tennille J. Checkovich & Steven Stern, 2002. "Shared Caregiving Responsibilities of Adult Siblings with Elderly Parents," Journal of Human Resources, University of Wisconsin Press, vol. 37(3), pages 441-478.
    4. Quitterie Roquebert & Roméo Fontaine & Agnès Gramain, 2016. "L'aide à un parent âgé, seul et dépendant : déterminants structurels et interactions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01316903, HAL.
    5. repec:hal:journl:halshs-01316903 is not listed on IDEAS
    6. David H. Good & M. Ishaq Nadiri & Robin C. Sickles, 1996. "Index Number and Factor Demand Approaches to the Estimation of Productivity," NBER Working Papers 5790, National Bureau of Economic Research, Inc.
    7. Jose M. Fernandez, 2013. "An Empirical Model Of Learning Under Ambiguity: The Case Of Clinical Trials," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(2), pages 549-573, May.
    8. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    9. Liliana E. Pezzin & Robert A. Pollak & Barbara S. Schone, 2007. "Efficiency in Family Bargaining: Living Arrangements and Caregiving Decisions of Adult Children and Disabled Elderly Parents," CESifo Economic Studies, CESifo, vol. 53(1), pages 69-96, March.
    10. Quitterie Roquebert & Roméo Fontaine & Agnès Gramain, 2016. "L'aide à un parent âgé, seul et dépendant : déterminants structurels et interactions," Documents de travail du Centre d'Economie de la Sorbonne 16030, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    11. Fernandez, Jose & Cataiefe, Guido, 2009. "Model of the 2000 Presidential Election: Instrumenting for Ideology," MPRA Paper 16264, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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