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Cited by 700

The DOI matches its Crossref record.

Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market

Open access
Berry, Steven, Levinsohn, James, Pakes, Ariel·2004·Journal of Political Economy
DOI 10.1086/379939
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Abstract

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.

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Metadata

Authors
Berry, S., Levinsohn, J., & Pakes, A.
Venue
Journal of Political Economy
Publisher
University of Chicago Press
Published
2004-02
Volume
112
Issue
1
Pages
68-105
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
DOI
10.1086/379939
OpenAlex
W2890450186
Cited by
700
References
0
FWCI
76.33
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market. https://app.cochat.ai/papers/10.1086/379939
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Berry, S., Levinsohn, J., & Pakes, A. (2004). Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market. Journal of Political Economy. https://doi.org/10.1086/379939

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.