• Economics, Computer Science
  • Published 2019

Identification and inference in discrete choice models with imperfect information.

@inproceedings{Gualdani2019IdentificationAI,
  title={Identification and inference in discrete choice models with imperfect information.},
  author={Cristina Gualdani and Shruti Sinha},
  year={2019}
}
In this paper we study identification and inference of preference parameters in a single-agent, static, discrete choice model where the decision maker may face attentional limits precluding her to exhaustively process information about the payoffs of the available alternatives. By leveraging on the notion of one-player Bayesian Correlated Equilibrium in Bergemann and Morris (2016), we provide a tractable characterisation of the sharp identified set and discuss inference under minimal… CONTINUE READING

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