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Identifying dynamic discrete choice models

Author

Listed:
  • David Thesmar

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Thierry Magnac

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, the authors analyze the non paramatric identification of dynamic discrete choice without consumption smoothing using individual data on discrete choices. They posit that preferences are not restricted and that agents have private information about heir tastes at each period that no other agents, including econometricians can observe. Agents however are supposed to coordinate their expectations of future random tastes on a (common knowledge) distribution function..

Suggested Citation

  • David Thesmar & Thierry Magnac, 2002. "Identifying dynamic discrete choice models," Post-Print hal-00538062, HAL.
    • Handle: RePEc:hal:journl:hal-00538062
    as

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    Citations

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    Cited by:

    1. Abbring, Jaap H., 2003. "Dynamic Econometric Program Evaluation," IZA Discussion Papers 804, Institute of Labor Economics (IZA).
    2. Abbring, Jaap H. & Campbell, Jeffrey R., 2003. "A Structural Empirical Model of Firm Growth, Learning, and Survival," IZA Discussion Papers 781, Institute of Labor Economics (IZA).
    3. Christine L. Carroll & Colin A. Carter & Rachael E. Goodhue & C.-Y. Cynthia Lin Lawell, 2018. "Crop Disease and Agricultural Productivity: Evidence from a Dynamic Structural Model of Verticillium Wilt Management," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 217-249, National Bureau of Economic Research, Inc.
    4. Jaap H. Abbring & Øystein Daljord, 2020. "Identifying the discount factor in dynamic discrete choice models," Quantitative Economics, Econometric Society, vol. 11(2), pages 471-501, May.
    5. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2012. "Short Run Needs and Long Term Goals: A Dynamic Model of Thirst Management," Cowles Foundation Discussion Papers 1856, Cowles Foundation for Research in Economics, Yale University.
    6. Jaap H. Abbring & {O}ystein Daljord, 2018. "Identifying the Discount Factor in Dynamic Discrete Choice Models," Papers 1808.10651, arXiv.org, revised Sep 2019.
    7. Jaap H. Abbring & Øystein Daljord, 2020. "A Comment On “Estimating Dynamic Discrete Choice Models With Hyperbolic Discounting” By Hanming Fang And Yang Wang," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 565-571, May.
    8. Abbring, Jaap & Daljord, Øystein, 2016. "Identifying the Discount Factor in Dynamic Discrete Choice Models," CEPR Discussion Papers 11133, C.E.P.R. Discussion Papers.
    9. Doug J. Chung & Thomas Steenburgh & K. Sudhir, 2014. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans," Marketing Science, INFORMS, vol. 33(2), pages 165-187, March.
    10. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    11. Øystein Daljord, 2022. "Durable Goods Adoption and the Consumer Discount Factor: A Case Study of the Norwegian Book Market," Management Science, INFORMS, vol. 68(9), pages 6783-6796, September.
    12. Øystein Daljord & Denis Nekipelov & Minjung Park, 2019. "Comments on “identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action”," Quantitative Marketing and Economics (QME), Springer, vol. 17(4), pages 439-449, December.
    13. Christine L. Carroll & Colin A. Carter & Rachael E. Goodhue & C.-Y. Cynthia Lin Lawell, 2017. "Crop Disease and Agricultural Productivity," NBER Working Papers 23513, National Bureau of Economic Research, Inc.
    14. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2015. "Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management," Marketing Science, INFORMS, vol. 34(5), pages 702-721, September.
    15. Raluca M. Ursu & Qianyun Zhang & Elisabeth Honka, 2023. "Search Gaps and Consumer Fatigue," Marketing Science, INFORMS, vol. 42(1), pages 110-136, January.

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