Screening and the Welfare Trade-offs of Privacy

31 Pages Posted: 13 Feb 2024

See all articles by Anastasios Dosis

Anastasios Dosis

ESSEC Business School; CY Cergy Paris Université

Casey Rothschild

Wellesley College

Date Written: January 25, 2024

Abstract

A principal and agent interact in a class of models a la Mussa and Rosen (1978) with
continuously divisible product quality. Prior to their interaction, a notional planner
designs the information disclosure environment which determines the extent to which
the principal can observe the willingness-to-pay of the agent. We contrast the class
of Pareto optimal information disclosure policies when the willingness-to-pay of the
consumer is exogenous and when, instead, the distribution of agent types is determined
by an unobservable and costly investment by the agent. In either class, full
privacy may or may not be Pareto optimal, and within the class of Pareto optima,
there is always a strict tradeoff between agent welfare and total welfare (as measured
by agent surplus plus principal surplus). In a two-type model, this tradeoff is fully
parameterized by a one-dimensional measure of information disclosure. Full disclosure
is always Pareto optimal with exogenous willingness-to-pay and never Pareto
optimal with endogenous willingness-to-pay.

Keywords: Screening, Privacy, Price discrimination,Welfare

JEL Classification: D61, D82, D83, D86, L12

Suggested Citation

Dosis, Anastasios and Rothschild, Casey, Screening and the Welfare Trade-offs of Privacy (January 25, 2024). Available at SSRN: https://ssrn.com/abstract=4706308 or http://dx.doi.org/10.2139/ssrn.4706308

Anastasios Dosis (Contact Author)

ESSEC Business School

3 Avenue Bernard Hirsch
B.P 50105
Cergy - Pontoise Cedex, NA 95021
France

CY Cergy Paris Université ( email )

paris
France

Casey Rothschild

Wellesley College ( email )

106 Central St.
Wellesley, MA 02181
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
20
Abstract Views
136
PlumX Metrics