The Effectiveness of a Neighbor-to-Neighbor Get-Out-the-Vote Program: Evidence from the 2017 Virginia State Elections

Handan-Nader, Cassandra; Ho, Daniel E.; Morantz, Alison D.; Rutter, Tom A.

doi:10.1017/xps.2020.11

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…The racial composition of one's neighborhood is a powerful determinant of how individuals perceive the space around them (Wong 2010), influencing residential sorting, neighborhood trust, exclusionary attitudes, and group conflict (Enos 2017;Massey and Denton 1993). Likewise, Democrats and Republicans are increasingly likely to live separate from one another (Brown and Enos 2021;Rodden 2019), and this partisan homogeneity influences political attitudes and behaviors (Handan-Nader et al 2021;Perez-Truglia 2017). As such, when people consider their neighborhood or local community, they may define it along racial dimensions.…”

Section: Empirical Applicationsmentioning

confidence: 99%

Measuring and Modeling Neighborhoods

McCARTAN,

BROWN,

IMAI

2024

Am Polit Sci Rev

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Granular geographic data present new opportunities to understand how neighborhoods are formed, and how they influence politics. At the same time, the inherent subjectivity of neighborhoods creates methodological challenges in measuring and modeling them. We develop an open-source survey instrument that allows respondents to draw their neighborhoods on a map. We also propose a statistical model to analyze how the characteristics of respondents and local areas determine subjective neighborhoods. We conduct two surveys: collecting subjective neighborhoods from voters in Miami, New York City, and Phoenix, and asking New York City residents to draw a community of interest for inclusion in their city council district. Our analysis shows that, holding other factors constant, white respondents include census blocks with more white residents in their neighborhoods. Similarly, Democrats and Republicans are more likely to include co-partisan areas. Furthermore, our model provides more accurate out-of-sample predictions than standard neighborhood measures.

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Section: Empirical Applicationsmentioning

confidence: 99%

Measuring and Modeling Neighborhoods

McCARTAN,

BROWN,

IMAI

2024

Am Polit Sci Rev

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“…The paper, which examined 84,000 state legislative candidates from 1992 to 2020, found that polarization in state legislatures has been substantially increasing over recent decades with more extreme candidates enjoying electoral advantages previously experienced by more moderate candidates. This has national implications since the majority of sitting congress members were previously state legislators (Handan-Nader, Meyers, & Hall, 2022).…”

Section: Introductionmentioning

confidence: 99%

Political Rhetoric Typology in the 2022 US State Legislative Elections

Hartley

2024

OJPS

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This study examines political campaign videos from winning candidates in contested state legislative races during the 2022 US election, and compares typology of political topics and personal characteristics communicated by each candidate. 172 candidates were selected for the study across forty-three states. Transcripts of each candidate's video were categorized pertaining to political/societal topics, personal characteristics/attributes, mentions of national narratives, and mentions of bipartisanship or mending the political divide. Key findings show Republicans were 9.6 times more likely to invoke national political narratives whereas Democrats were 4.3 times more likely to reference phrases of bipartisanship. Further, the most commonly mentioned political topics for Democrats were education, abortion rights, and gun violence/safety compared to that of Republicans being education, taxes, and law enforcement. Additionally, the study suggests Republicans focus more on ascribing personal characteristics in their campaign videos whereas Democrats focus more on emphasizing societal outcomes.

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Place-Based Campaigning: The Political Impact of Real Grassroots Mobilization

Bischof

Kurer

2023

The Journal of Politics

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Generations of research have incrementally identified the circumstances under which electoral campaigns matter. Direct, interpersonal contact within local networks is commonly seen as conducive to campaign impact, but empirical evidence is scarce due to demanding data requirements. We advance the literature by studying the Movimento Cinque Stelle (M5S), an important challenger party in Italy, which followed the unusual practice of coordinating political activities on a public online platform. We web-scraped the entire history of the movement's more than 1,000 local branches with over 200,000 geocoded political activities to study the effect and mechanisms of their No-campaign in the 2016 constitutional referendum. Relying on regression, matching, and instrumental variable models, we demonstrate that local M5S mobilization had substantial campaign effects. Our results have important implications as they highlight the effectiveness of locally rooted campaigns and the particular potency of place-based political mobilization.

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The Effectiveness of a Neighbor-to-Neighbor Get-Out-the-Vote Program: Evidence from the 2017 Virginia State Elections

Cited by 3 publications

References 21 publications

Measuring and Modeling Neighborhoods

Measuring and Modeling Neighborhoods

Political Rhetoric Typology in the 2022 US State Legislative Elections

Place-Based Campaigning: The Political Impact of Real Grassroots Mobilization

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