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A Simplified Mixed Logit Demand Model with an Application to the Simulation of Entry

  • Sergio Aquino de Souza
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    The key contribution of this paper is to show how to incorporate more information into the empirical strategy in order to avoid the need of valid instruments, which are difficult to find in many instances. I use information on price elasticity to propose a methodology that is able to determine the parameters of a simplified Mixed Logit Model. I also apply this methodology to the ready-to-eat cereal industry and simulate the competitive and welfare effects of the introduction of new products.

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    File Function: First version, 2011
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    Paper provided by Universidade de São Paulo, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto in its series Working Papers with number 04-2011.

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    Date of creation: 2011
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    Handle: RePEc:fea:wpaper:04-2011
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    1. Nevo, Aviv, 1998. "Measuring Market Power in the Ready-To-Eat Cereal Industry," Food Marketing Policy Center Research Reports 037, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    2. Werden, Gregory J & Froeb, Luke M, 1994. "The Effects of Mergers in Differentiated Products Industries: Logit Demand and Merger Policy," Journal of Law, Economics and Organization, Oxford University Press, vol. 10(2), pages 407-26, October.
    3. Daniel A. Ackerberg & Marc Rysman, 2002. "Unobserved Product Differentiation in Discrete Choice Models: Estimating Price Elasticities and Welfare Effects," NBER Working Papers 8798, National Bureau of Economic Research, Inc.
    4. Poirier, Dale J., 1996. "A Bayesian analysis of nested logit models," Journal of Econometrics, Elsevier, vol. 75(1), pages 163-181, November.
    5. Lahiri, Kajal & Gao, Jian, 2002. "Bayesian analysis of nested logit model by Markov chain Monte Carlo," Journal of Econometrics, Elsevier, vol. 111(1), pages 103-133, November.
    6. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(02), pages 185-213, April.
    7. Haijime Katayama & Shihua Lu & James Tybout, 2003. "Why Plant-Level Productivity Studies are Often Misleading, and an Alternative Approach to Interference," NBER Working Papers 9617, National Bureau of Economic Research, Inc.
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