Data and Code for: Laissez-faire, Social Networks, and Race in a Pandemic

URL: https://www.openicpsr.org/openicpsr/project/159041/
Description: We use unique data on nursing home networks in the United States and estimation of state-level preference for prioritizing short-term economic gains over health to analyze the effects of race, laissez-faire (more tolerance to the virus spread) policies, and network centrality on COVID-19 deaths in nursing homes. Our findings suggest that laissez-faire policies increase deaths. Nursing homes with a larger share of black residents experience more deaths, but they are less vulnerable to laissez-faire policies, especially when not central in social networks. Our findings highlight significant interactions between COVID-19 policies, race, and network structure among U.S. seniors.

Geographic Coverage: U.S. nursing homes; States in the United States

Time Period:   3/13/2020 – 8/16/2020

Universe: The dataset on U.S. nursing home networks was constructed by the ``Protect Nursing Homes" project members. They used device-level geolocation data for 501,503 smartphones in at least one of the 15,307 nursing homes in the 11 weeks following the nationwide restriction on nursing home visits on March 13, 2020. We complement the dataset with the estimated values of COVID-19 tolerable infection incidence for each U.S state.

Data Types:   administrative records data; geographic information system (GIS) data; survey data

Collection Notes:   The final dataset was constructed using restricted-access data on the U.S. nursing homes from Yale University’s “Protect Nursing Homes Project” and other publicly available sources.
Format: Single study
Country: United States
Title: Data and Code for: Laissez-faire, Social Networks, and Race in a Pandemic
Format: Single study

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