Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/230390 
Erscheinungsjahr: 
2020
Schriftenreihe/Nr.: 
Working Paper No. 2020-12
Verlag: 
Federal Reserve Bank of Chicago, Chicago, IL
Zusammenfassung: 
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 behavior in the days leading up to a stay-at-home order.
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