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The market as a process for the discovery of whom not to trust

Published online by Cambridge University Press:  27 May 2021

Ginny Seung Choi
Affiliation:
F.A. Hayek Program for Advanced Study in Philosophy, Politics and Economics, Mercatus Center at George Mason University, Fairfax, VA, USA
Virgil Henry Storr*
Affiliation:
Department of Economics, George Mason University, Fairfax, VA, USA
*
*Corresponding author. Email: vstorr@gmu.edu
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Abstract

Trust is an important component of all successful commercial exchanges. Indeed, there is now a considerable literature on the economic importance of trust as well as the relationship between trust and institutions. Although there is now a sizeable literature on the economic importance of trust, and on the institutions that are associated with higher levels of trust, this literature remains relatively silent on the potential of markets to generate trust and, more specifically, how market actors discover whom to trust and, perhaps more importantly, whom not to trust. In this paper, we build on research by market process theorists that understands the market as a discovery process. We argue that the market is also a discovery process through which market participants acquire knowledge about their trading partners' dispositions, moral priorities, and personalities. Specifically, we argue that the market facilitates the identification of trustworthy and untrustworthy individuals and is, thus, a process for the discovery of whom to trust and whom not to trust. Additionally, we report experimental evidence that suggests that although market participants are trusting of strangers (at least in our experimental setting), they are less trusting of trading partners who have proven to be untrustworthy in past dealings.

Keywords

Information

Type
Symposium on Institutional Analysis, Market Processes, and Interdisciplinary Social Science
Copyright
Copyright © Millennium Economics Ltd 2021
Figure 0

Figure 1. Player 1 transfers in the treatment and the baseline by relationship type. The error bars represent standard errors. Percentage returned by trustee is calculated as trustee's token transfer divided by the respective trustor's tripled token transfer. The negative and positive relationships are from the treatment and the strangers are from the baseline. Graph presents trustor and trustee transfers by different relationship types and indicates the treatment from which the relationship type is derived below the bars. The first set of bars represent trustor transfers and the second set of bars represent trustee transfers. Within each set of bars, from left to right, the bars represent negative relationships, positive relationships, and strangers.

Figure 1

Table 1. Summary of trust game transfers by relationship type

Figure 2

Table 2. Pairwise comparison of trust game transfers