US voters have been moving further and further apart, most notably in terms of partisanship. This trend has led to a strong geographic concentration of voters’ preferences. We look at how turnout shows a similar pattern by jointly addressing two features of the data: spatial autocorrelation and heterogeneity of the observed units. Results obtained through a spatial lag regression tree procedure for the 2012 US presidential elections allow us to identify twelve groups of counties with similar characteristics. We fnd that (i) close counties behave similarly in terms of turnout; (ii) across various groups of counties, some variables have diferent statistical signifcance (or lack of it, such as household income and unemployment), and often diferent signs (such as the shares of adherents to congregations, Blacks, and Hispanics, and urban population). These results are useful for targeting geographically based groups in get out the vote operations

Detecting Dividing Lines in Turnout: Spatial Dependence and Heterogeneity in the 2012 US Presidential Election

Nadia Fiorino;Nicola Pontarollo
;
Roberto Ricciuti
2022-01-01

Abstract

US voters have been moving further and further apart, most notably in terms of partisanship. This trend has led to a strong geographic concentration of voters’ preferences. We look at how turnout shows a similar pattern by jointly addressing two features of the data: spatial autocorrelation and heterogeneity of the observed units. Results obtained through a spatial lag regression tree procedure for the 2012 US presidential elections allow us to identify twelve groups of counties with similar characteristics. We fnd that (i) close counties behave similarly in terms of turnout; (ii) across various groups of counties, some variables have diferent statistical signifcance (or lack of it, such as household income and unemployment), and often diferent signs (such as the shares of adherents to congregations, Blacks, and Hispanics, and urban population). These results are useful for targeting geographically based groups in get out the vote operations
2022
Turnout, Spatial dependence, Heterogeneity, US presidential elections
File in questo prodotto:
File Dimensione Formato  
Detecting Dividing Lines in Turnout Spatial Dependence and Heterogeneity.pdf

accesso aperto

Licenza: Creative commons
Dimensione 1.5 MB
Formato Adobe PDF
1.5 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1077927
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact