Reynaert, MathiasIdRefORCIDORCID: https://orcid.org/0000-0002-2886-2548, Xu, WenxuanIdRef and Zhao, HanlinIdRef (2024) Estimating Choice Models with Unobserved Expectations over Attributes. TSE Working Paper, n. 24-1571, Toulouse

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Abstract

Agents often make choices based on expectations about uncertain attributes, yet the information used to form these expectations is typically unobserved by researchers.
We develop two methods to estimate discrete choice models in which agents form expectations using heterogeneous and unobserved information sets. Preferences are point-identified by approximating the latent information structure with a finite mixture of information types, or set-identified with partial information about expectations. Both approaches apply to individual- and market-level data with minimal assumptions on expectation formation. Applications to firms’ exporting decisions and consumers’ automobile purchases show that accounting for unobserved information substantially
affects estimated preferences.

Item Type: Monograph (Working Paper)
Language: English
Date: September 2024
Place of Publication: Toulouse
Uncontrolled Keywords: Discrete choice, unobserved information, mixture model, set identification.
JEL Classification: C5 - Econometric Modeling
C8 - Data Collection and Data Estimation Methodology; Computer Programs
D8 - Information, Knowledge, and Uncertainty
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse Capitole
Site: UT1
Date Deposited: 16 Sep 2024 07:10
Last Modified: 17 Mar 2026 07:59
OAI Identifier: oai:tse-fr.eu:129713
URI: https://publications.ut-capitole.fr/id/eprint/49697
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