Improving the Performance of Random Coefficients Demand Models: the Role of Optimal Instruments
AbstractWe shed new light on the performance of Berry, Levinsohn and Pakes' (1995) GMM estimator of the aggregate random coefficient logit model. Based on an extensive Monte Carlo study, we show that the use of Chamberlain's (1987) optimal instruments overcomes most of the problems that have recently been documented with standard, non-optimal instruments. Optimal instruments reduce small sample bias, but prove even more powerful in increasing the estimator's efficiency and stability. Other recent methodological advances (MPEC, polynomial-based integration of the market shares) greatly improve computational speed, but they are only successful in terms of bias and efficiency when combined with optimal instruments.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 9026.
Date of creation: Jun 2012
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Other versions of this item:
- Reynaert, Mathias & Verboven, Frank, 2012. "Improving the performance of random coefficients demand models: the role of optimal instruments," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/350314, Katholieke Universiteit Leuven.
- Mathias REYNAERT & Frank VERBOVEN, 2012. "Improving the performance of random coefficients demand models: the role of optimal instruments," Center for Economic Studies - Discussion papers ces12.07, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
- 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 Applied Economics.
- C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
- L00 - Industrial Organization - - General - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-07-23 (All new papers)
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- Chamberlain, Gary, 1987. "Asymptotic efficiency in estimation with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 34(3), pages 305-334, March.
- Fox, Jeremy T. & Kim, Kyoo il & Ryan, Stephen P. & Bajari, Patrick, 2012.
"The random coefficients logit model is identified,"
Journal of Econometrics,
Elsevier, vol. 166(2), pages 204-212.
- Crawford, Gregory S., 2012.
"Endogenous product choice: A progress report,"
International Journal of Industrial Organization,
Elsevier, vol. 30(3), pages 315-320.
- Crawford, Gregory S, 2012. "Endogenous Product Choice: A Progress Report," CEPR Discussion Papers 8862, C.E.P.R. Discussion Papers.
- Crawford, Gregory S., 2012. "Endogenous Product Choice : A Progress Report," The Warwick Economics Research Paper Series (TWERPS) 979, University of Warwick, Department of Economics.
- Verboven, Frank, 1996.
"International price discrimination in the European car market,"
Open Access publications from Katholieke Universiteit Leuven
urn:hdl:123456789/101467, Katholieke Universiteit Leuven.
- Frank Verboven, 1996. "International Price Discrimination in the European Car Market," RAND Journal of Economics, The RAND Corporation, vol. 27(2), pages 240-268, Summer.
- Michelle Sovinsky Goeree, 2005. "Advertising in the US Personal Computer Industry," Industrial Organization 0503002, EconWPA.
- Heiss, Florian & Winschel, Viktor, 2008. "Likelihood approximation by numerical integration on sparse grids," Journal of Econometrics, Elsevier, vol. 144(1), pages 62-80, May.
- Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
- Jiang, Renna & Manchanda, Puneet & Rossi, Peter E., 2009. "Bayesian analysis of random coefficient logit models using aggregate data," Journal of Econometrics, Elsevier, vol. 149(2), pages 136-148, April.
- Jean-Pierre H. Dubé & Jeremy T. Fox & Che-Lin Su, 2009. "Improving the Numerical Performance of BLP Static and Dynamic Discrete Choice Random Coefficients Demand Estimation," NBER Working Papers 14991, National Bureau of Economic Research, Inc.
- Amemiya, Takeshi, 1977. "The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, Econometric Society, vol. 45(4), pages 955-68, May.
- McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
- Ulrich Kaiser & Susan J. Méndez & Thomas Rønde & Hannes Ullrich, 2013.
" Regulation of Pharmaceutical Prices: Evidence from a Reference Price Reform in Denmark,"
330, University of Zurich, Department of Business Administration (IBW).
- Kaiser, Ulrich & Méndez, Susan J. & Rønde, Thomas & Ullrich, Hannes, 2013. "Regulation of Pharmaceutical Prices: Evidence from a Reference Price Reform in Denmark," IZA Discussion Papers 7248, Institute for the Study of Labor (IZA).
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