Corruption, Intimidation, and Whistleblowing: A Theory of Inference from Unverifiable Reports

Working Paper: NBER ID: w20315

Authors: Sylvain Chassang; Gerard PadrĂ³ i Miquel

Abstract: We consider a game between a principal, an agent, and a monitor in which the principal would like to rely on messages by the monitor to target intervention against a misbehaving agent. The difficulty is that the agent can credibly threaten to retaliate against likely whistleblowers in the event of an intervention. In this setting intervention policies that are very responsive to the monitor's message provide very informative signals to the agent, allowing him to shut down communication channels. Successful intervention policies must garble the information provided by monitors and cannot be fully responsive. We show that even if hard evidence is unavailable and monitors have heterogeneous incentives to (mis)report, it is possible to establish robust bounds on equilibrium corruption using only non-verifiable reports. Our analysis suggests a simple heuristic to calibrate intervention policies: first get monitors to complain, then scale up enforcement while keeping the information content of intervention constant.

Keywords: Corruption; Whistleblowing; Intervention Policies

JEL Codes: D73; 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
Principal's intervention strategy (I24)Agent's corrupt behavior (K42)
Principal's intervention strategy (I24)Monitor's willingness to report corruption (H57)
Agent's corrupt behavior (K42)Monitor's willingness to report corruption (H57)
Principal's intervention responsiveness (I24)Monitor's reporting behavior (Y10)
Agent's retaliation (L85)Monitor's willingness to report corruption (H57)
Reported corruption (H57)Actual corruption levels (D73)
Variation in intervention intensity (I24)Insights into underlying corruption levels (D73)

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