Unobserved Product Differentiation in Discrete-Choice Models: Estimating Price Elasticities and Welfare Effects
AbstractCommonly used discrete-choice models such as logit, nested logit, and random-coefficients models place very strong restrictions on how unobservable characteristic space changes with the number of products. We argue (and show with Monte Carlo experiments)that these restrictions can lead to biased estimates of price elasticities and the welfare consequences from additional products. In addition, these restrictions can identify parameters that are not intuitively identified given the data at hand. We suggest an alternative model that does not have these properties and present a structural interpretation of the model. Monte Carlo experiments and an empirical example show that this issue can be important in practice.
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Bibliographic InfoArticle provided by The RAND Corporation in its journal RAND Journal of Economics.
Volume (Year): 36 (2005)
Issue (Month): 4 (Winter)
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Web page: http://www.rje.org
Other versions of this item:
- 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.
- L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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