{"title":"消除机动车搜索中的种族差异会带来效率成本吗?","authors":"B. Feigenberg, Conrad Miller","doi":"10.1093/QJE/QJAB018","DOIUrl":null,"url":null,"abstract":"During traffic stops, police search black and Hispanic motorists more than twice as often as white motorists, yet those searches are no more likely to yield contraband. We ask whether equalizing search rates by motorist race would reduce contraband yield. We use unique administrative data from Texas to isolate variation in search behavior across and within highway patrol troopers and find that search rates are unrelated to the proportion of searches that yield contraband. We find that troopers can equalize search rates across racial groups, maintain the status quo search rate, and increase contraband yield. Troopers appear to be limited in their ability to discern between motorists that are more or less likely to carry contraband. JEL Codes: J15, K42. ∗We thank the editors, Larry Katz and Stefanie Stantcheva, five anonymous referees, Ian Ayres, Felipe Goncalves, Peter Hull, Patrick Kline, Jonathan Leonard, David Levine, Dan O’Flaherty, Steven Rivkin, Evan Rose, Yotam Shem-Tov, Chris Walters, and seminar participants at USC, University of Illinois, Chicago, the Online Economics of Crime seminar, the Online Economics of Racism seminar, NBER Summer Institute, Yale SOM, Harvard, Stanford, and MIT for helpful comments. We thank researchers at the Stanford Open Policing Project for providing data on Texas Highway Patrol stops. We thank the Fisher Center for Real Estate and Urban Economics at Haas for providing computing resources.","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"1 1","pages":""},"PeriodicalIF":11.1000,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/QJE/QJAB018","citationCount":"19","resultStr":"{\"title\":\"Would Eliminating Racial Disparities in Motor Vehicle Searches have Efficiency Costs?\",\"authors\":\"B. Feigenberg, Conrad Miller\",\"doi\":\"10.1093/QJE/QJAB018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During traffic stops, police search black and Hispanic motorists more than twice as often as white motorists, yet those searches are no more likely to yield contraband. We ask whether equalizing search rates by motorist race would reduce contraband yield. We use unique administrative data from Texas to isolate variation in search behavior across and within highway patrol troopers and find that search rates are unrelated to the proportion of searches that yield contraband. We find that troopers can equalize search rates across racial groups, maintain the status quo search rate, and increase contraband yield. Troopers appear to be limited in their ability to discern between motorists that are more or less likely to carry contraband. JEL Codes: J15, K42. ∗We thank the editors, Larry Katz and Stefanie Stantcheva, five anonymous referees, Ian Ayres, Felipe Goncalves, Peter Hull, Patrick Kline, Jonathan Leonard, David Levine, Dan O’Flaherty, Steven Rivkin, Evan Rose, Yotam Shem-Tov, Chris Walters, and seminar participants at USC, University of Illinois, Chicago, the Online Economics of Crime seminar, the Online Economics of Racism seminar, NBER Summer Institute, Yale SOM, Harvard, Stanford, and MIT for helpful comments. We thank researchers at the Stanford Open Policing Project for providing data on Texas Highway Patrol stops. We thank the Fisher Center for Real Estate and Urban Economics at Haas for providing computing resources.\",\"PeriodicalId\":48470,\"journal\":{\"name\":\"Quarterly Journal of Economics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":11.1000,\"publicationDate\":\"2021-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/QJE/QJAB018\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quarterly Journal of Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1093/QJE/QJAB018\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quarterly Journal of Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1093/QJE/QJAB018","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Would Eliminating Racial Disparities in Motor Vehicle Searches have Efficiency Costs?
During traffic stops, police search black and Hispanic motorists more than twice as often as white motorists, yet those searches are no more likely to yield contraband. We ask whether equalizing search rates by motorist race would reduce contraband yield. We use unique administrative data from Texas to isolate variation in search behavior across and within highway patrol troopers and find that search rates are unrelated to the proportion of searches that yield contraband. We find that troopers can equalize search rates across racial groups, maintain the status quo search rate, and increase contraband yield. Troopers appear to be limited in their ability to discern between motorists that are more or less likely to carry contraband. JEL Codes: J15, K42. ∗We thank the editors, Larry Katz and Stefanie Stantcheva, five anonymous referees, Ian Ayres, Felipe Goncalves, Peter Hull, Patrick Kline, Jonathan Leonard, David Levine, Dan O’Flaherty, Steven Rivkin, Evan Rose, Yotam Shem-Tov, Chris Walters, and seminar participants at USC, University of Illinois, Chicago, the Online Economics of Crime seminar, the Online Economics of Racism seminar, NBER Summer Institute, Yale SOM, Harvard, Stanford, and MIT for helpful comments. We thank researchers at the Stanford Open Policing Project for providing data on Texas Highway Patrol stops. We thank the Fisher Center for Real Estate and Urban Economics at Haas for providing computing resources.
期刊介绍:
The Quarterly Journal of Economics stands as the oldest professional journal of economics in the English language. Published under the editorial guidance of Harvard University's Department of Economics, it comprehensively covers all aspects of the field. Esteemed by professional and academic economists as well as students worldwide, QJE holds unparalleled value in the economic discourse.