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  1. Home
  2. ASSA Annual Meeting
  3. AEA 2022 Session Recordings
  4. Advances in Demand Estimation: Theory and Methods

Advances in Demand Estimation: Theory and Methods

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Chair:
Giovanni Compiani
, University of Chicago

You Can Lead a Horse to Water: Spatial Learning and Path Dependence in Consumer Search

Charles Hodgson
,
Yale University
Gregory Lewis
,
Microsoft Research

Approximating Choice Data by Discrete Choice Models

Yusuke Narita
,
Yale University
Kota Saito
,
California Institute of Technology
Haoge Chang
,
Yale University

Yogurts Choose Consumers? Estimation of Random-Utility Models via Two-Sided Matching

Alfred Galichon
,
New York University
Odran Bonnet
,
Sciences Po
Yu-Wei Hsieh
,
University of Southern California
Keith O'Hara
,
Amazon
Matthew Shum
,
California Institute of Technology

Mixed Logit and Pure Characteristics Models

Jay Lu
,
University of California-Los Angeles
Kota Saito
,
California Institute of Technology

Dynamic Discrete Choice Models with Incomplete Data: Sharp Identification

Yingyao Hu
,
Johns Hopkins University
Yuya Sasaki
,
Vanderbilt University
Yuya Takahashi
,
University of Washington
Yi Xin
,
California Institute of Technology
Discussant(s)
Matthew Shum
,
California Institute of Technology
Victor Aguirregabiria
,
University of Toronto
Giovanni Compiani
,
University of Chicago
Wayne Gao
,
University of Pennsylvania
Elena Manresa
,
New York University