Noisy Agents

Working Paper: NBER ID: w24627

Authors: Francisco Espinosa; Debraj Ray

Abstract: Agents signal their type in a principal-agent model; the principal seeks to retain good agents. Types are signaled with some ambient noise. Agents can choose to add or remove additional noise at a cost. It is shown that monotone retention strategies, in which the principal keeps the agent if the signal crosses some threshold, are generically never equilibria. The main result identifies an equilibrium with a bounded retention zone, in which the principal is wary of both excessively good and excessively bad signals: she retains the agent if the signal is “moderate” and replaces him otherwise. The equilibria we uncover are robust to various extensions: non-normal signal structures, non-binary types, interacting agents, costly mean-shifting, or dynamics with term limits. We discuss applications to risky portfolio management, fake news and noisy government statistics.

Keywords: Principal-Agent Model; Noisy Signaling; Retention Strategies

JEL Codes: D72; D82; D86


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
agent's type (L85)signal generated (L96)
signal generated (L96)principal's retention decision (M51)
agent's type (L85)principal's retention decision (M51)
noise levels chosen by agents (D79)principal's retention decision (M51)
bounded retention strategies (C41)principal's retention decision (M51)
extreme signals (C69)principal's retention decision (M51)

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