{"title":"The Effect of the Texas Migrant Busing Program on the 2024 U.S. Presidential Election","authors":"William Scarborough, Ronald Kwon, David Brady","doi":"10.15195/v13.a11","DOIUrl":null,"url":null,"abstract":"From 2022 to 2024, Texas transported more than 100,000 migrants from the U.S.–Mexico border to six cities led by Democratic mayors, creating a unique migration shock far from the border. We use county-level data to estimate the program’s effects on presidential elections. Comparing two elections prior to the program (2016–2020) with one after (2024), we find that the busing program increased Trump’s vote share by more than three percentage points in treated counties. These effects are robust to alternative analyses. To explore mechanisms further, we analyze individual-level data from AP VoteCast. The increase in Trump’s vote share in places receiving buses was driven by swing voters and elevated Republican turnout. Swing voters in busing destinations were moved to Trump by amplified concerns with crime, whereas Republican turnout was linked to heightened concerns over immigration. Our findings highlight the enduring power of minority threat and the growing role of subnational immigration policies.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"53 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sociological Science","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.15195/v13.a11","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
From 2022 to 2024, Texas transported more than 100,000 migrants from the U.S.–Mexico border to six cities led by Democratic mayors, creating a unique migration shock far from the border. We use county-level data to estimate the program’s effects on presidential elections. Comparing two elections prior to the program (2016–2020) with one after (2024), we find that the busing program increased Trump’s vote share by more than three percentage points in treated counties. These effects are robust to alternative analyses. To explore mechanisms further, we analyze individual-level data from AP VoteCast. The increase in Trump’s vote share in places receiving buses was driven by swing voters and elevated Republican turnout. Swing voters in busing destinations were moved to Trump by amplified concerns with crime, whereas Republican turnout was linked to heightened concerns over immigration. Our findings highlight the enduring power of minority threat and the growing role of subnational immigration policies.
期刊介绍:
Sociological Science is an open-access, online, peer-reviewed, international journal for social scientists committed to advancing a general understanding of social processes. Sociological Science welcomes original research and commentary from all subfields of sociology, and does not privilege any particular theoretical or methodological approach.