Voluntary Disclosure in Bilateral Transactions

56 Pages Posted: 16 Nov 2016 Last revised: 12 Feb 2018

See all articles by Vincent Glode

Vincent Glode

University of Pennsylvania - The Wharton School

Christian C. Opp

University of Rochester - Simon Business School; National Bureau of Economic Research (NBER)

Xingtan Zhang

University of Colorado at Boulder - Department of Finance

Date Written: February 9, 2018

Abstract

We characterize optimal voluntary disclosures by a privately informed agent facing a counterparty endowed with market power in a bilateral transaction. Although disclosures reveal some of the agent's private information, they may increase his information rents by mitigating the counterparty's incentives to resort to inefficient screening. We show that when disclosures are restricted to be ex post verifiable, the informed agent optimally designs a disclosure plan that is partial and that implements socially efficient trade in equilibrium. Our results shed light on the conditions necessary for asymmetric information to impede trade and the determinants of disclosures' coarseness.

Keywords: Information Design, Disclosure, Market Power, Persuasion

JEL Classification: D42, D82, D83, G24 L12

Suggested Citation

Glode, Vincent and Opp, Christian C. and Zhang, Xingtan, Voluntary Disclosure in Bilateral Transactions (February 9, 2018). Journal of Economic Theory, Forthcoming, Available at SSRN: https://ssrn.com/abstract=2869232 or http://dx.doi.org/10.2139/ssrn.2869232

Vincent Glode (Contact Author)

University of Pennsylvania - The Wharton School ( email )

3641 Locust Walk
Philadelphia, PA 19104-6365
United States

HOME PAGE: http://www.vincentglode.com

Christian C. Opp

University of Rochester - Simon Business School ( email )

Rochester, NY 14627
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Xingtan Zhang

University of Colorado at Boulder - Department of Finance ( email )

Campus Box 419
Boulder, CO 80309
United States

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