Publication:

Decision Making Under Information Asymmetry: Experimental Evidence on Belief Refinements

Loading...
Thumbnail Image

Date

2014-11-06

Published Version

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Schmidt, William, and Ryan W. Buell. "Decision Making Under Information Asymmetry: Experimental Evidence on Belief Refinements." Harvard Business School Working Paper, No. 15-001, July 2014.

Abstract

We explore how individuals make decisions in an operations management setting when there is information asymmetry between the firm and an outside investor. A common assumption in the signaling game literature is that beliefs among the participants in the game are refined using the Intuitive Criterion refinement. Our experimental results provide evidence that the predictive power of this refinement is quite low, and that the Undefeated refinement better captures actual choice behavior. This is surprising because the Intuitive Criterion refinement is the most commonly utilized belief refinement in the literature while the Undefeated refinement is rarely employed. Our results have material implications for both research and practice because the Undefeated and Intuitive Criterion refinements often produce divergent predictions. Our results demonstrate that conformance to the Undefeated and Intuitive Criterion refinements is influenced by changes in the underlying newsvendor model parameters. We also show that adherence to the Undefeated refinement is especially pronounced among subjects who report a high level of understanding of the game and that subjects whose choices conformed with the predictions of the Undefeated refinement were rewarded by investors with higher payoffs in the game. Finally, we demonstrate, through a reexamination of Cachon and Lariviere (2001), how the application of the Undefeated refinement can substantively extend the implications of extant signaling game theory in the operations management literature.

Description

Other Available Sources

Research Data

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories