Improving the Numerical Performance of BLP Static and Dynamic Discrete Choice Random Coefficients Demand Estimation
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References listed on IDEAS
- 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.
- Aviv Nevo, 2000. "Mergers with Differentiated Products: The Case of the Ready-to-Eat Cereal Industry," RAND Journal of Economics, The RAND Corporation, vol. 31(3), pages 395-421, Autumn.
- Christopher R. Knittel & Konstantinos Metaxoglou, 2008. "Estimation of Random Coefficient Demand Models: Challenges, Difficulties and Warnings," NBER Working Papers 14080, National Bureau of Economic Research, Inc.
- Harikesh Nair, 2007.
"Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games,"
Quantitative Marketing and Economics (QME),
Springer, vol. 5(3), pages 239-292, September.
- Nair, Harikesh S., 2006. "Intertemporal Price Discrimination with Forward-Looking Consumers: Application to the US Market for Console Video-Games," Research Papers 1947, Stanford University, Graduate School of Business.
- repec:cdl:compol:217 is not listed on IDEAS
- 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.
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- Reynaert, Mathias & Verboven, Frank, 2014.
"Improving the performance of random coefficients demand models: The role of optimal instruments,"
Journal of Econometrics,
Elsevier, vol. 179(1), pages 83-98.
- Reynaert, Mathias & Verboven, Frank, 2012. "Improving the Performance of Random Coefficients Demand Models: the Role of Optimal Instruments," CEPR Discussion Papers 9026, C.E.P.R. Discussion Papers.
- REYNAERT, Mathias & VERBOVEN, Frank, 2012. "Improving the performance of random coefficients demand models: The role of optimal instruments," Working Papers 2012011, University of Antwerp, Faculty of Business and Economics.
- Mathias REYNAERT & Frank VERBOVEN, 2012. "Improving the performance of random coefficients demand models: the role of optimal instruments," Working Papers Department of Economics ces12.07, KU Leuven, Faculty of Economics and Business, Department of Economics.
- Vivienne Pham & David Prentice, 2010.
"An empirical Analysis of the Counter-factual: A Merger and Divestiture in the Australian Cigarette Industry,"
2010.08, School of Economics, La Trobe University.
- Pham, Vivienne & Prentice, David, 2010. "An empirical analysis of the counterfactual: a merger and divestiture in the Australian cigarette industry," MPRA Paper 26713, University Library of Munich, Germany.
- Vivienne Pham & David Prentice, 2010. "An empirical Analysis of the Counter-factual: A Merger and Divestiture in the Australian Cigarette Industry," Working Papers 2010.08 EDIRC Provider-In, School of Economics, La Trobe University.
- German Zenetti & Thomas Otter, 2014. "Bayesian estimation of the random coefficients logit from aggregate count data," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 43-84, March.
- Christopher R. Knittel & Konstantinos Metaxoglou, 2011. "Challenges in Merger Simulation Analysis," American Economic Review, American Economic Association, vol. 101(3), pages 56-59, May.
- Laura Grigolon & Frank Verboven, 2014.
"Nested Logit or Random Coefficients Logit? A Comparison of Alternative Discrete Choice Models of Product Differentiation,"
The Review of Economics and Statistics,
MIT Press, vol. 96(5), pages 916-935, December.
- Grigolon, Laura & Verboven, Frank, 2011. "Nested logit or random coefficients logit? A comparison of alternative discrete choice models of product differentiation," CEPR Discussion Papers 8584, C.E.P.R. Discussion Papers.
- Cohen, Michael & Rabinowitz, Adam, 2012. "An Empirical Analysis of Equilibrium Pricing and Advertising in the Ready-To-Eat Cereal Market," Working Paper series 148350, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
- Peter Davis & Pasquale Schiraldi, 2014.
"The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products,"
RAND Journal of Economics,
RAND Corporation, vol. 45(1), pages 32-63, March.
- Davis, Peter & Schiraldi, Pasquale, 2013. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," LSE Research Online Documents on Economics 54252, London School of Economics and Political Science, LSE Library.
- Schiraldi, Pasquale & Davis, Peter, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," LSE Research Online Documents on Economics 46855, London School of Economics and Political Science, LSE Library.
- Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2011. "An Equilibrium Model of User Generated Content," Working Papers 11-13, NET Institute, revised Dec 2011.
- Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
- Steven Berry & Panle Jia, 2010.
"Tracing the Woes: An Empirical Analysis of the Airline Industry,"
American Economic Journal: Microeconomics,
American Economic Association, vol. 2(3), pages 1-43, August.
- Steven Berry & Panle Jia, 2008. "Tracing the Woes: An Empirical Analysis of the Airline Industry," NBER Working Papers 14503, National Bureau of Economic Research, Inc.
- Panle Jia Barwick & Parag A. Pathak, 2015.
"The costs of free entry: an empirical study of real estate agents in Greater Boston,"
RAND Journal of Economics,
RAND Corporation, vol. 46(1), pages 103-145, March.
- Panle Jia Barwick & Parag A. Pathak, 2011. "The Costs of Free Entry: An Empirical Study of Real Estate Agents in Greater Boston," NBER Working Papers 17227, National Bureau of Economic Research, Inc.
More about this item
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- L0 - Industrial Organization - - General
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2009-05-23 (All new papers)
- NEP-DCM-2009-05-23 (Discrete Choice Models)
- NEP-ECM-2009-05-23 (Econometrics)
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