Information Choice: Cost over Content

Working Paper: CEPR ID: DP18252

Authors: Kristof Madarasz; Marek Pycia

Abstract: When supplying information, agents choose between options that differ both in their contents and in their costs. We establish a “cost-over-content” theorem for a large class of dynamic trading environments where buyers choose from arbitrary sets of processes (experiments) that reveal information to the seller. When all experiments are equally costly, choosing any given experiment is a perfect equilibrium. However, when experiments differ in costs, there is a unique equilibrium: all buyers choose the cheapest experiment, regardless of the information it pro- vides. We explore implications for market performance, privacy, data sale, and defaults in market regulation.

Keywords: information design; signalling; dynamic pricing; platforms; privacy paradox; defaults

JEL Codes: No JEL codes provided


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Cost of an experiment (C90)Buyers' choice of experiment (C90)
Buyers' choice of experiment (C90)Efficiency of trade (F12)
Cost of an experiment (C90)Efficiency of trade (F12)

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