Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We evaluate the consistency of two methods for estimating the effect of an economic policy: (i) asking people how the policy caused them to change their behavior (reported effects) and (ii) inferring this change using data on behavior and differences in treatment across people (revealed-preference estimates). Both methods are widely used to measure spending caused by increases in liquidity. Using federal stimulus payments disbursed quasi-randomly in 2008, we find larger revealed-preference estimates of spending propensities for households who report greater spending responses, and the methods produce similar average propensities. But evidence is mixed on the relationship between spending propensities and liquidity.