Published January 15, 2015 | Version Accepted Version
Working Paper Open

How Cheap Talk Enhances Efficiency in Public Goods Games

Abstract

This paper uses a Bayesian mechanism design approach to investigate the effects of communication in a threshold public goods game. Individuals have private information about contribution costs. If at least some fraction of the group make a discrete contribution, a public benefit accrues to all members of the group. We experimentally implement three different communication structures prior to the decision move: (a) simultaneous exchange of binary messages, (b) larger finite numerical message space and (c) unrestricted text chat. We obtain theoretical bounds on the efficiency gains that are obtainable under these different communication structures. In an experiment with three person groups and a threshold of two, we observe significant efficiency gains only with the richest of these communication structures, where participants engage in unrestricted text chatting. In that case, the efficiency bounds implied by mechanism design theory are achieved.

Additional Information

January 15, 2015. We are grateful for comments from seminar audiences at several universities and conferences. We acknowledge the financial support of grants from the National Science Foundation (SES-0962802 and SES-1426560), the Gordon and Betty Moore Foundation, and the Russell Sage Foundation. We are grateful to John Ledyard for valuable comments on the theoretical section. Kirill Pogorelskiy provided excellent research assistance. The usual caveat applies.

Attached Files

Accepted Version - SSWP_1400.pdf

Files

SSWP_1400.pdf

Files (449.4 kB)

Name Size
md5:b6b37e75db8f709598da21349f027d19
449.4 kB Preview Download

Additional details

Identifiers

Eprint ID
64911
Resolver ID
CaltechAUTHORS:20160301-120023499

Funding

NSF
SES-0962802
NSF
SES-1426560
Gordon and Betty Moore Foundation
Russell Sage Foundation

Dates

Created
2016-03-04
Created from EPrint's datestamp field
Updated
2019-11-22
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
Social Science Working Papers
Series Name
Social Science Working Paper
Series Volume or Issue Number
1400