Identification in Differentiated Products Markets
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Other versions of this item:
- Steven Berry & Phil Haile, 2015. "Identification in differentiated product markets," CeMMAP working papers CWP47/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Steven T. Berry & Philip A. Haile, 2015. "Identification in Differentiated Products Markets," Cowles Foundation Discussion Papers 2019, Cowles Foundation for Research in Economics, Yale University.
References listed on IDEAS
- 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," Working Papers 2012011, University of Antwerp, Faculty of Applied Economics.
- 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.
- 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.
- Lau, Lawrence J., 1982. "On identifying the degree of competitiveness from industry price and output data," Economics Letters, Elsevier, vol. 10(1-2), pages 93-99.
- Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Deng, Zhongqi & Chen, Yongjun, 2016. "Markups and Firm-Level Export Status: Comment," MPRA Paper 74494, University Library of Munich, Germany.
- Mogens Fosgerau & Abhishek Ranjan, 2017.
"A note on identification in discrete choice models with partial observability,"
Theory and Decision,
Springer, vol. 83(2), pages 283-292, August.
- Fosgerau, Mogens & Ranjan, Abhishek, 2017. "A note on identification in discrete choice models with partial observability," MPRA Paper 76800, University Library of Munich, Germany.
More about this item
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2015-09-05 (All new papers)
- NEP-COM-2015-09-05 (Industrial Competition)
- NEP-ECM-2015-09-05 (Econometrics)
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