Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market
In this paper, we consider how rich sources of information on consumer choice can help to identify demand parameters in a widely used class of differentiated products demand models. Most important, we show how to use "second-choice" data on automotive purchases to obtain good estimates of substitution patterns in the automobile industry. We use our estimates to make out-of-sample predictions about important recent changes in industry structure.
Year of publication: |
2004
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Authors: | Berry, Steven ; Levinsohn, James ; Pakes, Ariel |
Published in: |
Journal of Political Economy. - University of Chicago Press. - Vol. 112.2004, 1, p. 68-105
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Publisher: |
University of Chicago Press |
Saved in:
Saved in favorites
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