TY - JOUR
T1 - Too Good to Be True? Retention Rules for Noisy Agents
AU - Espinosa, Francisco
AU - Ray, Debraj
N1 - Publisher Copyright:
© 2023, American Economic Journal: Microeconomics. All Rights Reserved.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
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U2 - 10.1257/mic.20200472
DO - 10.1257/mic.20200472
M3 - Article
AN - SCOPUS:85163391023
SN - 1945-7669
VL - 15
SP - 493
EP - 535
JO - American Economic Journal: Microeconomics
JF - American Economic Journal: Microeconomics
IS - 2
ER -