Experimental Evidence of Pooling Outcomes Under Information Asymmetry

William Schmidt () and Ryan W. Buell ()
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William Schmidt: Samuel Curtis Johnson Graduate School of Management, Cornell University, Ithaca, New York 14853
Ryan W. Buell: Harvard Business School, Harvard University, Boston, Massachusetts 02163

Management Science, 2017, vol. 63, issue 5, 1586-1605

Abstract: Operational decisions under information asymmetry can signal a firm’s prospects to less informed parties, such as investors, customers, competitors, and regulators. Consequently, managers in these settings often face a trade-off between making an optimal decision and sending a favorable signal. We provide experimental evidence on the choices made by decision makers in such settings. Equilibrium assumptions that are commonly applied to analyze these situations yield the least cost separating outcome as the unique equilibrium. In this equilibrium, the more informed party undertakes a costly signal to resolve the information asymmetry that exists. We provide evidence, however, that participants are much more likely to pursue a pooling outcome when such an outcome is available. This result is important for research and practice because pooling and separating outcomes can yield dramatically different results and have divergent implications. We find evidence that the choice to pool is influenced by changes in the underlying newsvendor model parameters in our setting. In robustness tests, we show that choosing a pooling outcome is especially pronounced among participants who report a high level of understanding of the setting and that participants who pool are rewarded by the less informed party with higher payoffs. Finally, we demonstrate through a reexamination of two previous studies how pooling outcomes can substantively extend the implications of other extant signaling game models in the operations management literature.

Keywords: economics; behavior and behavioral decision making; information asymmetry; capacity planning; signaling games (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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