We link the county-level rollout of stay-at-home orders to anonymized cell phone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay home: Countylevel measures of mobility declined 8% by the day after the stay-at-home order went into effect. Second, stay-at-home orders caused large reductions in spending in sectors associated with mobility: small businesses and large retail stores. However, consumers sharply increased spending on food delivery services after orders went into effect. Third, responses to stay-at-home orders were fairly uniform across the country, and do not vary by income, political leanings, or urban/rural status.
We identify 22,461 recipients of Covid-19 Economic Impact Payments in anonymized transaction-level bank account data from Facteus. We use an event study framework to show that in the two weeks following a $1,200 stimulus payment in April 2020, consumers increased spending by $546, implying a marginal propensity to consume of 46%. Consumers used an additional 10% of the stimulus payment to pay off debt. Consumer spending fell to normal levels after two weeks. Stimulus recipients who live paycheckto-paycheck spent 60% of the stimulus payment within two weeks, while recipients who save much of their monthly income spent only 24% of the stimulus payment within two weeks. Spending patterns are quite similar for the second round of stimulus payments in January, 2021, with consumers spending 39% of their stimulus payments within two weeks and using an additional 14% of their payment to pay off debt. Reweighting our data to match the U.S. population, ignoring equilibrium effects, and assuming a constant MPC for each person, we estimate that the CARES Act's $296 billion of stimulus payments increased consumer spending by $130 billion (44% of total outlays) within two weeks of stimulus receipt. A stimulus bill targeted at individuals with the highest MPCs could have increased consumer spending and debt payments by the same amount at a cost of only $246 billion.
We link the county-level rollout of stay-at-home orders during the Covid-19 pandemic to anonymized cell phone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay home: county-level measures of mobility declined 6-7% within two days of when the stayat-home order went into effect. Second, stay-at-home orders caused large reductions in spending in sectors associated with mobility: small businesses and large retail chains. Third, we estimate fairly uniform responses to stay-at-home orders across the country; effects do not vary by county-level income, political leanings, or urban/rural status.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.