How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories

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Abstract/Contents

Abstract
We propose a new way to quantify the restrictiveness of an economic model, based on how well the model fits simulated, hypothetical data sets. The data sets are drawn at random from a distribution that satisfies some application dependent content restrictions (such as that people prefer more money to less). Models that can fit almost all hypothetical data well are not restrictive. To illustrate our approach, we evaluate the restrictiveness of popular behavioral models in two experimental settings–certainty equivalents and initial play–and explain how restrictiveness reveals new insights about each of the models.

Description

Type of resource text
Date created August 10, 2021

Creators/Contributors

Author Fudenberg, Drew
Author Gao, Wayne
Author Liang, Annie
Organizer of meeting Bernheim, B. Douglas
Organizer of meeting Beshears, John
Organizer of meeting Crawford, Vincent
Organizer of meeting Laibson, David
Organizer of meeting Malmendier, Ulrike

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Subject economics
Genre Text
Genre Working paper
Genre Grey literature

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
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This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

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Preferred citation
Fudenberg, D., Gao, W., and Liang, A. (2022). How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories. Stanford Digital Repository. Available at https://purl.stanford.edu/yh648hf6681

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