Learning and Beliefs: Models, Measurement, and Identification

Arnaud Maurel and Michela Tincani

No 22087, CEPR Discussion Papers from Centre for Economic Policy Research

Abstract: This article discusses the rapidly expanding literature on imperfect information, learning, and belief formation, with a focus on learning models in labor economics. We structure the review around a stylized dynamic learning framework, which we use as a lens to highlight key methodological and empirical contributions. We pay particular attention to issues of measurement and identification. We conclude by outlining promising directions for future research, stressing the importance of tight links between measurements and theory.

JEL-codes: C01 I2 J01 (search for similar items in EconPapers)
Date: 2026-10
References: Add references at CitEc
Citations:

Downloads: (external link)
https://cepr.org/publications/DP22087 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:22087

Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP22087

Access Statistics for this paper

More papers in CEPR Discussion Papers from Centre for Economic Policy Research 33 Great Sutton Street, London EC1V 0DX, UK.
Bibliographic data for series maintained by CEPR ().