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Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior
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 7–8% within two days of when 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 chains. Third, we estimate fairly uniform responses to stay-at-home orders across the country; effects do not vary by ...
Report
Fiscal Progressivity of the U.S. Federal and State Governments
Combining a variety of survey and administrative data, this paper measures the progressivity of taxes and transfers at the U.S. federal level and separately for each state. The findings are as follows. (i) The federal tax and transfer system is progressive. (ii) State and local tax and transfer systems are close to proportional, on average. (iii) There is substantial heterogeneity in tax levels and tax progressivity across states. (iv) States that are funded mostly by sales and property taxes tend to have regressive tax systems and low average tax rates. States that are funded mostly by ...
Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior
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 at home: County-level measures of mobility declined 9–13% 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: restaurants and retail stores. However, consumers sharply increased spending on food delivery services after orders went into effect. Third, while the response of residents to ...
Working Paper
Fewer Vacants, Fewer Crimes? Impacts of Neighborhood Revitalization Policies on Crime
The relationship between neighborhood physical environment and social disorder, particularly crime, is of critical interest to urban economists and sociologists, as well as local governments. Over the past 50 years, various policy interventions to improve physical conditions in distressed neighborhoods have also been heralded for their potential to reduce crime. Urban renewal programs in the mid-20th century and public housing redevelopment in the 1990s both subscribed to the idea that signs of physical disorder invite social disorder. More recently, the federal Neighborhood Stabilization ...
Working Paper
Opting in with the Joneses: What Affects the Timing of Municipal Adoption of a Local-option Meals Tax?
States use local-option taxes to promote local revenue diversification and improve local fiscal health. However, many sub-state governments wait a long time before adopting local-option taxes or do not adopt them at all, which seems puzzling or even irrational upon first glance. This paper uses the local-option meals tax in Massachusetts as a case study to examine the factors that affect the timing of local adoptions. It finds significant positive results for adoption by neighboring municipalities, which are robust to a variety of specifications, neighbor definitions, and weighting matrices. ...
Working Paper
Which Way to Recovery? Housing Market Outcomes and the Neighborhood Stabilization Program
To help communities recover from the foreclosure crisis, Congress enacted a set of policies known as the Neighborhood Stabilization Program (NSP). NSP's objective was to mitigate the impact of foreclosures on neighboring properties, through reducing the stock of distressed properties and removing sources of visual blight. This paper presents evidence on production outcomes achieved through the second round of NSP funding (NSP2), and discusses the housing market context under which the program operated from 2010 to 2013. Two key findings emerge. First, local grantees undertook quite different ...
Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior
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 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 chains. Third, we estimate fairly uniform responses to stay-at-home orders across the country; effects do not vary by ...
Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior
We link the county-level rollout of stay-at-home orders to anonymized cellphone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay at home: county-level measures of mobility declined by between 9% and 13% 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: restaurants and retail stores. However, food delivery sharply increased after orders went into effect. Third, there is substantial county-level heterogeneity in consumer ...
Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior
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: County-level 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 ...