Back to School: The Effect of School Visits during COVID-19 on COVID-19 Transmission. Working Paper 28645

Autor/inn/en	Bravata, Dena; Cantor, Jonathan H.; Sood, Neeraj; Whaley, Christopher M.
Institution	National Bureau of Economic Research
Titel	Back to School: The Effect of School Visits during COVID-19 on COVID-19 Transmission. Working Paper 28645
Quelle	(2021), (63 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	COVID-19; Pandemics; School Closing; Disease Control; Program Effectiveness; Counties; Public Health; Children; Family Structure; Clinical Diagnosis; Effect Size; Socioeconomic Influences; Low Income Groups; Incidence; Elementary Secondary Education + Suchen Sie Ihr Suchwort? School closings; Schule; Schließung; Schließung (von Schulen); Gesundheitswesen; Child; Kind; Kinder; Familienkonstellation; Familiensystem; Sozioökonomischer Faktor; Vorkommen
Abstract	Schools across the United States and the world have been closed in an effort to mitigate the spread of COVID-19. However, the effect of school closure on COVID-19 transmission remains unclear. We estimate the causal effect of changes in the number of weekly visits to schools on COVID-19 transmission using a triple difference approach. In particular, we measure the effect of changes in county-level visits to schools on changes in COVID-19 diagnoses for households with school-age children relative to changes in COVID-19 diagnoses for households without school-age children. We use a data set from the first 46 weeks of 2020 with 130 million household-week level observations that includes COVID-19 diagnoses merged to school visit tracking data from millions of mobile phones. We find that increases in county-level in-person visits to schools lead to an increase in COVID-19 diagnoses among households with children relative to households without school-age children. However, the effects are small in magnitude. A move from the 25th to the 75th percentile of county-level school visits translates to a 0.3 per 10,000 household increase in COVID-19 diagnoses. This change translates to a 3.2 percent relative increase. We find larger differences in low-income counties, in counties with higher COVID-19 prevalence, and at later stages of the COVID-19 pandemic. (As Provided).
Anmerkungen	National Bureau of Economic Research. 1050 Massachusetts Avenue, Cambridge, MA 02138-5398. Tel: 617-588-0343; Web site: http://www.nber.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01