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Replication data for: Geographic Boundaries as Regression Discontinuities

By Luke Keele and Rocio Titiunik · as credited by the source

Published 2014-10-01 · Political Analysis Dataverse

Deposited on Harvard Dataverse doi:10.7910/DVN/26453 licence: see repository 1 file
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About this dataset

Data to illustrate our geographic RD methodological framework. Illustration is a a re-examination of the effects of political advertisements on voter turnout during a presidential campaign, exploiting the exogenous variation in the volume of presidential ads that is created by media market boundaries. We rely on two data sources. Our main source is the New Jersey voter file. This dataset has measures of party registration, gender and age directly from the voter file, and imputed values of education, income, poverty status, and employment status. The voter file also contains the address of each …

Collection: Political Analysis Dataverse

Regression DiscontinuityGeocodingSpatial analysisGeographic Regression Discontinuity

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Cite

@dataset{keele2014,
  title     = {Replication data for: Geographic Boundaries as Regression Discontinuities},
  author    = {Keele, Luke and Titiunik, Rocio},
  year      = {2014},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/26453},
  url       = {https://doi.org/10.7910/DVN/26453}
}

Research that uses it

No published research on E2ER uses this dataset yet.

Description

Data model
Discipline
Social sciences
Method family
Empirical (quantitative)Replication
Design
Regression discontinuity
Research stage
Data acquisition
Contributors
Luke Keele (Data curation); Rocio Titiunik (Data curation)
Usage
not used in published research yet
Source
Harvard Dataverse · Political Analysis Dataverse
Record
dataset:dataverse/10-7910-dvn-26453 · JSON

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