Dhaval Dave, Andrew Friedson, Kyutaro Matsuzawa, Drew McNichols, Connor Redpath, Joseph J Sabia
{"title":"风险规避、社区效应抵消和COVID-19:来自室内政治集会的证据。","authors":"Dhaval Dave, Andrew Friedson, Kyutaro Matsuzawa, Drew McNichols, Connor Redpath, Joseph J Sabia","doi":"10.1007/s11166-021-09359-4","DOIUrl":null,"url":null,"abstract":"<p><p>The Centers for Disease Control and Prevention (CDC) deem large indoor gatherings without social distancing the \"highest risk\" activity for COVID-19 contagion. On June 20, 2020, President Donald J. Trump held his first mass campaign rally following the US coronavirus outbreak at the indoor Bank of Oklahoma arena. In the weeks following the event, numerous high-profile national news outlets reported that the Trump rally was \"more than likely\" the cause of a coronavirus surge in Tulsa County based on time series data. This study is the first to rigorously explore the impacts of this event on social distancing and COVID-19 spread. First, using data from SafeGraph Inc, we show that while non-resident visits to census block groups hosting the Trump event grew by approximately 25 percent, there was no decline in net stay-at-home behavior in Tulsa County, reflecting important offsetting behavioral effects. Then, using data on COVID-19 cases from the CDC and a synthetic control design, we find little evidence that COVID-19 grew more rapidly in Tulsa County, its border counties, or in the state of Oklahoma than each's estimated counterfactual during the five-week post-treatment period we observe. Difference-in-differences estimates further provide no evidence that COVID-19 rates grew faster in counties that drew relatively larger shares of residents to the event. We conclude that offsetting risk-related behavioral responses to the rally-including voluntary closures of restaurants and bars in downtown Tulsa, increases in stay-at-home behavior, displacement of usual activities of weekend inflows, and smaller-than-expected crowd attendance-may be important mechanisms.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11166-021-09359-4.</p>","PeriodicalId":48066,"journal":{"name":"Journal of Risk and Uncertainty","volume":"63 2","pages":"133-167"},"PeriodicalIF":1.3000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535106/pdf/","citationCount":"3","resultStr":"{\"title\":\"Risk avoidance, offsetting community effects, and COVID-19: Evidence from an indoor political rally.\",\"authors\":\"Dhaval Dave, Andrew Friedson, Kyutaro Matsuzawa, Drew McNichols, Connor Redpath, Joseph J Sabia\",\"doi\":\"10.1007/s11166-021-09359-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Centers for Disease Control and Prevention (CDC) deem large indoor gatherings without social distancing the \\\"highest risk\\\" activity for COVID-19 contagion. On June 20, 2020, President Donald J. Trump held his first mass campaign rally following the US coronavirus outbreak at the indoor Bank of Oklahoma arena. In the weeks following the event, numerous high-profile national news outlets reported that the Trump rally was \\\"more than likely\\\" the cause of a coronavirus surge in Tulsa County based on time series data. This study is the first to rigorously explore the impacts of this event on social distancing and COVID-19 spread. First, using data from SafeGraph Inc, we show that while non-resident visits to census block groups hosting the Trump event grew by approximately 25 percent, there was no decline in net stay-at-home behavior in Tulsa County, reflecting important offsetting behavioral effects. Then, using data on COVID-19 cases from the CDC and a synthetic control design, we find little evidence that COVID-19 grew more rapidly in Tulsa County, its border counties, or in the state of Oklahoma than each's estimated counterfactual during the five-week post-treatment period we observe. Difference-in-differences estimates further provide no evidence that COVID-19 rates grew faster in counties that drew relatively larger shares of residents to the event. We conclude that offsetting risk-related behavioral responses to the rally-including voluntary closures of restaurants and bars in downtown Tulsa, increases in stay-at-home behavior, displacement of usual activities of weekend inflows, and smaller-than-expected crowd attendance-may be important mechanisms.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11166-021-09359-4.</p>\",\"PeriodicalId\":48066,\"journal\":{\"name\":\"Journal of Risk and Uncertainty\",\"volume\":\"63 2\",\"pages\":\"133-167\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535106/pdf/\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Risk and Uncertainty\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1007/s11166-021-09359-4\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/10/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Risk and Uncertainty","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s11166-021-09359-4","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/10/22 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Risk avoidance, offsetting community effects, and COVID-19: Evidence from an indoor political rally.
The Centers for Disease Control and Prevention (CDC) deem large indoor gatherings without social distancing the "highest risk" activity for COVID-19 contagion. On June 20, 2020, President Donald J. Trump held his first mass campaign rally following the US coronavirus outbreak at the indoor Bank of Oklahoma arena. In the weeks following the event, numerous high-profile national news outlets reported that the Trump rally was "more than likely" the cause of a coronavirus surge in Tulsa County based on time series data. This study is the first to rigorously explore the impacts of this event on social distancing and COVID-19 spread. First, using data from SafeGraph Inc, we show that while non-resident visits to census block groups hosting the Trump event grew by approximately 25 percent, there was no decline in net stay-at-home behavior in Tulsa County, reflecting important offsetting behavioral effects. Then, using data on COVID-19 cases from the CDC and a synthetic control design, we find little evidence that COVID-19 grew more rapidly in Tulsa County, its border counties, or in the state of Oklahoma than each's estimated counterfactual during the five-week post-treatment period we observe. Difference-in-differences estimates further provide no evidence that COVID-19 rates grew faster in counties that drew relatively larger shares of residents to the event. We conclude that offsetting risk-related behavioral responses to the rally-including voluntary closures of restaurants and bars in downtown Tulsa, increases in stay-at-home behavior, displacement of usual activities of weekend inflows, and smaller-than-expected crowd attendance-may be important mechanisms.
Supplementary information: The online version contains supplementary material available at 10.1007/s11166-021-09359-4.
期刊介绍:
The Journal of Risk and Uncertainty (JRU) welcomes original empirical, experimental, and theoretical manuscripts dealing with the analysis of risk-bearing behavior and decision making under uncertainty. The topics covered in the journal include, but are not limited to, decision theory and the economics of uncertainty, experimental investigations of behavior under uncertainty, empirical studies of real world risk-taking behavior, behavioral models of choice under uncertainty, and risk and public policy. Review papers are welcome.
The JRU does not publish finance or behavioral finance research, game theory, note length work, or papers that treat Likert-type scales as having cardinal significance.
An important aim of the JRU is to encourage interdisciplinary communication and interaction between researchers in the area of risk and uncertainty. Authors are expected to provide introductory discussions which set forth the nature of their research and the interpretation and implications of their findings in a manner accessible to knowledgeable researchers in other disciplines.
Officially cited as: J Risk Uncertain