Two Dimensional Communication Technologies In Social Networks: Welfare Analysis

70 Pages Posted: 10 Dec 2019 Last revised: 19 Dec 2019

See all articles by Ali Kakhbod

Ali Kakhbod

Massachusetts Institute of Technology (MIT) - Department of Economics

Uliana Loginova

Columbia University - Graduate School of Arts and Sciences

Date Written: November 1, 2019

Abstract

This paper studies when introducing verifiable communication choices between agents (players) in a cheap-talk benchmark setting, with social tie, is beneficial to welfare. In our model agents have two ways to communicate their private information: either through a costly verifiable information (hard) link or through a low-cost cheap talk (soft) link. We identify that the appearance of hard links in the pure cheap talk setting has two opposing effects on welfare: (i) a positive effect stems from the information improvement and (ii) a negative effect arises from crowding out soft communication with costly verifiable communication. Surprisingly, the final welfare outcome of the two opposing forces depends on the cost structure. If only one party bears the cost of a hard link, then the positive (informational) effect always dominates the negative (crowding out) effect, and thus introducing hard links is beneficial to welfare. In contrast, if the cost of a hard link is shared by both parties, then allowing for verifiable communication can be detrimental to welfare. We also derive several testable implications about introducing hard links in corporate governance, and demonstrate the robustness of our findings in face of heterogenous costs, general signal structures, as well as the case where cost is endogenizied via negotiation about how to split the costs.

Keywords: Hard and soft communication, Welfare, Incentive, Networks, Cost structure

JEL Classification: D71, D72, D82, D83, G34

Suggested Citation

Kakhbod, Ali and Loginova, Uliana, Two Dimensional Communication Technologies In Social Networks: Welfare Analysis (November 1, 2019). Available at SSRN: https://ssrn.com/abstract=3438112 or http://dx.doi.org/10.2139/ssrn.3438112

Ali Kakhbod (Contact Author)

Massachusetts Institute of Technology (MIT) - Department of Economics ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

Uliana Loginova

Columbia University - Graduate School of Arts and Sciences ( email )

New York, NY 10027
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
15
Abstract Views
284
PlumX Metrics