Too Good to Be True? Retention Rules for Noisy Agents

B-Tier
Journal: American Economic Journal: Microeconomics
Year: 2023
Volume: 15
Issue: 2
Pages: 493-535

Authors (2)

Francisco Espinosa (not in RePEc) Debraj Ray (New York University (NYU))

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

An agent who privately knows his type seeks to be retained by a principal. Agents signal their type with some ambient noise, but can alter this noise, perhaps at some cost. Our main finding is that in equilibrium, the principal treats extreme signals in either direction with suspicion, and retains the agent if and only if the signal falls in some intermediate bounded set. In short, she follows the maxim: "if it seems too good to be true, it probably is." We consider extensions and applications, including non-normal signal structures, dynamics with term limits, risky portfolio management, and political risk-taking.

Technical Details

RePEc Handle
repec:aea:aejmic:v:15:y:2023:i:2:p:493-535
Journal Field
General
Author Count
2
Added to Database
2026-01-29