Using Preference Estimates to Customize Incentives : An Application to Polio Vaccination Drives in Pakistan

We use estimates of time preferences to customize incentives for polio vaccinators in Lahore, Pakistan. We measure time preferences using intertemporal allocations of effort, and derive the mapping between these estimates and individually optimized incentives. We evaluate the effect of matching contract terms to discounting parameters in a subsequent experiment with the same vaccinators. Our tailored policy is compared to alternatives that either rely on atheoretic reduced-form relationships for policy guidance or apply the same policy to all individuals. We find that contracts tailored to individual discounting outperform this range of policy alternatives