Information Disclosure as a Matching Mechanism: Theory and Evidence from a Field Experiment

2015 ◽  
Vol 105 (2) ◽  
pp. 886-905 ◽  
Author(s):  
Steven Tadelis ◽  
Florian Zettelmeyer

Market outcomes depend on the quality of information available to its participants. We measure the effect of information disclosure on market outcomes using a large-scale field experiment that randomly discloses quality information in wholesale automobile auctions. We argue that buyers in this market are horizontally differentiated across cars that are vertically ranked by quality. This implies that information disclosure helps match heterogeneous buyers to cars of varying quality, causing both good and bad news to increase competition and revenues. The data confirm these hypotheses. These findings have implications for the design of other markets, including e-commerce, procurement auctions, and labor markets. (JEL C93, D44, D82, L15)

2021 ◽  
Author(s):  
Tom Blake ◽  
Sarah Moshary ◽  
Kane Sweeney ◽  
Steve Tadelis

We analyze a large-scale field experiment on StubHub.com and show that disclosing fees upfront reduces both the quantity and quality of purchases.


2010 ◽  
Author(s):  
Julia Levashina ◽  
Frederick P. Morgeson ◽  
Michael A. Campion

2020 ◽  
Author(s):  
Ingvild Almås ◽  
Lars Ivar Oppedal Berge ◽  
Kjetil Bjorvatn ◽  
Vincent Somville ◽  
Bertil Tungodden

2016 ◽  
Vol 113 (52) ◽  
pp. 14944-14948 ◽  
Author(s):  
Wei Ai ◽  
Roy Chen ◽  
Yan Chen ◽  
Qiaozhu Mei ◽  
Webb Phillips

This paper reports the results of a large-scale field experiment designed to test the hypothesis that group membership can increase participation and prosocial lending for an online crowdlending community, Kiva. The experiment uses variations on a simple email manipulation to encourage Kiva members to join a lending team, testing which types of team recommendation emails are most likely to get members to join teams as well as the subsequent impact on lending. We find that emails do increase the likelihood that a lender joins a team, and that joining a team increases lending in a short window (1 wk) following our intervention. The impact on lending is large relative to median lender lifetime loans. We also find that lenders are more likely to join teams recommended based on location similarity rather than team status. Our results suggest team recommendation can be an effective behavioral mechanism to increase prosocial lending.


2017 ◽  
Vol 107 (12) ◽  
pp. 3760-3787 ◽  
Author(s):  
Judd B. Kessler

Providing information about contributions to public goods is known to generate further contributions. However, it is often impossible to provide verifiable information on contributions. Through a large-scale field experiment and a series of laboratory experiments, I show that nonbinding announcements of support for a public good encourage others to contribute, even when actual contributions might not or cannot be made. Providing a way to easily announce support for a charity increases donations by $865 per workplace fundraising campaign (or 16 percent of average giving). I discuss implications for understanding prosocial behavior and for organizations aiming to increase contributions to public goods. (JEL C93, D64, D83, H41, L31)


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