A Simplified Mixed Logit Demand Model with an Application to the Simulation of Entry
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.
|Date of creation:||2011|
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- Nevo, Aviv, 1998. "Measuring Market Power in the Ready-To-Eat Cereal Industry," Research Reports 25164, University of Connecticut, Food Marketing Policy Center.
- 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.
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01-14, University at Albany, SUNY, Department of Economics.
- 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.
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