Publication:

Updating stochastic choice

Date

Date

Date
2021
Working Paper

Citations

Citation copied

Alos-Ferrer, C., & Mihm, M. (2021). Updating stochastic choice (No. 381; Working Paper Series / Department of Economics).

Abstract

Abstract

Abstract

When an economic agent makes a choice, stochastic models predicting those choices can be updated. The structural assumptions embedded in the prior model condition the updated one, to the extent that the same evidence produces different predictions even when previous ones were identical. We provide a general framework for models of stochastic choice allowing for arbitrary forms of (structural) updating and show that different models can be sharply separated by their structural properties, leading to axiomatic characterizations. Our fra

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Creators (Authors)

Series Name

Series Name

Series Name
Working paper series / Department of Economics

Institution

Institution

Institution

Item Type

Item Type

Item Type
Working Paper

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

JEL Classification

JEL Classification

JEL Classification
D01
D81

Keywords

Stochastic preferences, Bayesian learning, logit choice, reinforcement, neuroeconomic theory

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
2021-03

Date available

Date available

Date available
2021-03-24

Number of pages

Number of pages

Number of pages
36

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1664-705X

OA Status

OA Status

OA Status
Green

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:20938

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Citation copied

Alos-Ferrer, C., & Mihm, M. (2021). Updating stochastic choice (No. 381; Working Paper Series / Department of Economics).

Green Open Access
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