Record Details


Field	Value

Title	Replication Data for: Measuring and Modeling Neighborhoods

Identifier	https://doi.org/10.7910/DVN/SDSUQG

Creator	McCartan, Cory Brown, Jacob R Imai, Kosuke

Publisher	Harvard Dataverse

Description	Granular geographic data present new opportunities to understand how neighbor- hoods are formed, and how they influence politics. At the same time, the inherent subjectivity of neighborhoods creates methodological challenges in measuring and mod- eling 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 neighbor- hoods. 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.

Subject	Social Sciences

Date	2024-02-02

Contributor	McCartan, Cory

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