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Cited by 863

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A Practitioner's Guide to Estimation of Random‐Coefficients Logit Models of Demand

Nevo, Aviv·2000·Journal of Economics & Management Strategy

Abstract

Estimation of demand is at the heart of many recent studies that examine questions of market power, mergers, innovation, and valuation of new brands in differentiated‐products markets. This paper focuses on one of the main methods for estimating demand for differentiated products: random‐coefficients logit models. The paper carefully discusses the latest innovations in these methods with the hope of increasing the understanding, and therefore the trust among researchers who have never used them, and reducing the difficulty of their use, thereby aiding in realizing their full potential.

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Crossref · 10.1111/j.1430-9134.2000.00513.x

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Metadata

Authors
Nevo, A.
Venue
Journal of Economics & Management Strategy
Publisher
Wiley
Published
2000-12
Volume
9
Issue
4
Pages
513-548
ISSN
  • 1058-6407 (ISSN-L)
  • 1530-9134
OpenAlex
W2000587002
Cited by
863
References
3
FWCI
33.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Practitioner's Guide to Estimation of Random‐Coefficients Logit Models of Demand. https://app.cochat.ai/papers/10.1111/j.1430-9134.2000.00513.x
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Nevo, A. (2000). A Practitioner's Guide to Estimation of Random‐Coefficients Logit Models of Demand. Journal of Economics & Management Strategy. https://doi.org/10.1111/j.1430-9134.2000.00513.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.