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Cited by 267

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Estimating Static Models of Strategic Interactions

Bajari, Patrick, Hong, Han, Krainer, John, Nekipelov, Denis·2010·Journal of Business & Economic Statistics

Abstract

We study the estimation of static games of incomplete information with multiple equilibria. A static game is a generalization of a discrete choice model, such as a multinomial logit or probit, which allows the actions of a group of agents to be interdependent. While the estimator we study is quite flexible, in most cases it can be easily implemented using standard statistical packages such as STATA. We also propose an algorithm for simulating the model which finds all equilibria to the game. As an application of our estimator, we study recommendations for high technology stocks between 1998–2003. We find that strategic motives, typically ignored in the empirical literature, appear to be an important consideration in the recommendations submitted by equity analysts.

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Metadata

Authors
Bajari, P., Hong, H., Krainer, J., & Nekipelov, D.
Venue
Journal of Business & Economic Statistics
Published
2010-10
Volume
28
Issue
4
Pages
469-482
ISSN
  • 0735-0015 (ISSN-L)
  • 1537-2707
OpenAlex
W3121496804
Cited by
267
References
40
FWCI
30.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating Static Models of Strategic Interactions. https://app.cochat.ai/papers/10.1198/jbes.2009.07264
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Bajari, P., Hong, H., Krainer, J., & Nekipelov, D. (2010). Estimating Static Models of Strategic Interactions. Journal of Business & Economic Statistics. https://doi.org/10.1198/jbes.2009.07264

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

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