A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models
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DOI: 10.1007/s11129-012-9119-6
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- Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2009. "A Practitioner's Guide To Bayesian Estimation Of Discrete Choice Dynamic Programming Models," Working Paper 1201, Economics Department, Queen's University.
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Citations
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Cited by:
- Andrew T. Ching & Masakazu Ishihara, 2018.
"Identification of Dynamic Models of Rewards Programme,"
The Japanese Economic Review, Springer, vol. 69(3), pages 306-323, September.
- Andrew T. Ching & Masakazu Ishihara, 2018. "Identification of Dynamic Models of Rewards Programme," The Japanese Economic Review, Japanese Economic Association, vol. 69(3), pages 306-323, September.
- Andrew T. Ching & Matthew Osborne, 2019. "Identification and Estimation of Forward-looking Behavior: The Case of Consumer Stockpiling," GRU Working Paper Series GRU_2019_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
- Jeremy Schwartz, 2019.
"The Job Search Intensity Supply Curve: How Labor Market Conditions Affect Job Search Effort,"
Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(2), pages 269-300, April.
- Jeremy Schwartz, 2014. "The Job Search Intensity Supply Curve: How Labor Market Conditions Affect Job Search Effort," Upjohn Working Papers and Journal Articles 14-215, W.E. Upjohn Institute for Employment Research.
- Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
- Février, Philippe & Wilner, Lionel, 2016.
"Do consumers correctly expect price reductions? Testing dynamic behavior,"
International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 25-40.
- Philippe Février & Lionel Wilner, 2014. "Errors in variables Models," Working Papers 2014-32, Center for Research in Economics and Statistics.
- Andrew T. Ching & Matthew Osborne, 2020. "Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling," Marketing Science, INFORMS, vol. 39(4), pages 707-726, July.
- Zhou, Yiyi, 2012. "Failure to Launch in Two-Sided Markets: A Study of the U.S. Video Game Market," MPRA Paper 42002, University Library of Munich, Germany.
- Hiroyuki Kasahara & Katsumi Shimotsu, 2018.
"Estimation of Discrete Choice Dynamic Programming Models,"
The Japanese Economic Review, Springer, vol. 69(1), pages 28-58, March.
- Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Estimation of Discrete Choice Dynamic Programming Models," The Japanese Economic Review, Japanese Economic Association, vol. 69(1), pages 28-58, March.
- Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
- Shunyuan Zhang & Param Vir Singh & Anindya Ghose, 2019. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests," Service Science, INFORMS, vol. 30(1), pages 15-33, March.
- Amoroso, S., 2013. "Heterogeneity of innovative, collaborative, and productive firm-level processes," Other publications TiSEM f5784a49-7053-401d-855d-1, Tilburg University, School of Economics and Management.
- Andrew Ching & Masakazu Ishihara, 2014. "Dynamic Demand for New and Used Durable Goods without Physical Depreciation: The Case of Japanese Video Games," 2014 Meeting Papers 782, Society for Economic Dynamics.
- Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
- Sara Amoroso, 2014. "The hidden costs of R&D collaboration," JRC Working Papers on Corporate R&D and Innovation 2014-02, Joint Research Centre (Seville site).
- Sun, Yutec & Ishihara, Masakazu, 2019. "A computationally efficient fixed point approach to dynamic structural demand estimation," Journal of Econometrics, Elsevier, vol. 208(2), pages 563-584.
- Chul Kim & P. K. Kannan & Michael Trusov & Andrea Ordanini, 2020. "Modeling Dynamics in Crowdfunding," Marketing Science, INFORMS, vol. 39(2), pages 339-365, March.
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More about this item
Keywords
Bayesian estimation; Dynamic programming; Discrete choice models; Rewards programs; C11; C35; C61; D91; M31;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising
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