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The Political Economy of Indirect Control *

Quarterly Journal of Economics 2012 127(2), 947-1015 open access
This article characterizes optimal policy when a government uses indirect control to exert its authority. We develop a dynamic principal-agent model in which a principal (a government) delegates the prevention of a disturbance–such as riots, protests, terrorism, crime, or tax evasion–to an agent who has an advantage in accomplishing this task. Our setting is a standard repeated moral hazard model with two additional features. First, the principal is allowed to exert direct control by intervening with an endogenously determined intensity of force which is costly to both players. Second, the principal suffers from limited commitment. Using recursive methods, we derive a fully analytical characterization of the intensity, likelihood, and duration of intervention. The first main insight from our model is that repeated and costly equilibrium interventions are a feature of optimal policy. This is because they are the most efficient credible means for the principal of providing incentives for the agent. The second main insight is a detailed analysis of a fundamental trade-off between the intensity and duration of intervention which is driven by the principal's inability to commit. Finally, we derive sharp predictions regarding the impact of various factors on the optimal intensity, likelihood, and duration of intervention. We discuss these results in the context of some historical episodes.

Selective Trials: A Principal-Agent Approach to Randomized Controlled Experiments

American Economic Review 2012 102(4), 1279-1309 open access
We study the design of randomized controlled experiments when outcomes are significantly affected by experimental subjects' unobserved effort expenditure. While standard randomized controlled trials (RCTs) are internally consistent, the unobservability of effort compromises external validity. We approach trial design as a principal-agent problem and show that natural extensions of RCTs—which we call selective trials—can help improve external validity. In particular, selective trials can disentangle the effects of treatment, effort, and the interaction of treatment and effort. Moreover, they can help identify when treatment effects are affected by erroneous beliefs and inappropriate effort expenditure.