The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimating Discrete-Choice Models of Product Differentiation
Abstract
This article considers the problem of "supply-and-demand" analysis on a cross section of oligopoly markets with differentiated products. The primary methodology is to assume that demand can be described by a discrete-choice model and that prices are endogenously determined by price-setting firms. In contrast to some previous empirical work, the techniques explicitly allow for the possibility that prices are correlated with unobserved demand factors in the cross section of markets. The article proposes estimation by "inverting" the market-share equation to find the implied mean levels of utility for each good. This method allows for estimation by traditional instrumental variables techniques.
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Citations
Cites
Elimination by aspects: A theory of choice
Tversky, A. (1972) · Psychological Review · doi:10.1037/h0032955 · Cited by 3,365
Cited by
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784
Automobile Prices in Market Equilibrium
Berry, S., Levinsohn, J., & Pakes, A. (1995) · Econometrica · doi:10.2307/2171802 · Cited by 4,883
Self-citationTechnology, Geography, and Trade
Eaton, J., & Kortum, S. (2002) · Econometrica · doi:10.1111/1468-0262.00352 · Cited by 4,485
Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use
Iyengar, S., & Hahn, K. S. (2009) · Journal of Communication · doi:10.1111/j.1460-2466.2008.01402.x · Cited by 1,940
Firms and Labor Market Inequality: Evidence and Some Theory
Card, D., Cardoso, A. R., Heining, J., & Kline, P. (2018) · Journal of Labor Economics · doi:10.1086/694153 · Cited by 919
Metadata
- Authors
- Berry, S. T.
- Venue
- The RAND Journal of Economics
- Publisher
- Wiley
- Published
- 1994
- Volume
- 25
- Issue
- 2
- Pages
- 242
- ISSN
- 0741-6261 (ISSN-L)
- OpenAlex
- W2093714429
- Cited by
- 2,939
- References
- 1
- FWCI
- 25.00
- Type
- journal article
- Language
- en
- Open access
- closed
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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.