Espinosa, Francisco.
Noisy Agents /
Francisco Espinosa, Debraj Ray.
- Cambridge, Mass. National Bureau of Economic Research 2018.
- 1 online resource: illustrations (black and white);
- NBER working paper series no. w24627 .
- Working Paper Series (National Bureau of Economic Research) no. w24627. .
May 2018.
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.
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