Does Digital Advertising Affect Vote Choice? Evidence from a Randomized Field Experiment

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ISPS ID: 
D187
Suggested citation: 

Alexander Coppock, Donald P. Green, and Ethan Porter (2022). Replication Materials for, Does Digital Advertising Affect Vote Choice? Evidence from a Randomized Field Experiment. https://hdl.handle.net/10079/eeeeeea4-9f7b-4bef-97c0-c0cb370c9132. ISPS Data Archive.

Author(s): 

Ethan Porter, Donald P. Green, Alexander Coppock

Research design: 
Data type: 
Experimental
Data source(s): 

Authors

Data source information: 

isps(at)yale(dot)edu

Field Date: 
2018-11
Location: 
Location details: 
Florida congressional districts 15, 16, 26, and 27
Unit of observation: 
Geo: other
Sample size: 
210
Inclusion/exclusion: 
We drop precinct-ZIP code pairs that account for less than 10% of voters putatively residing within a given ZIP code. In the main analysis, we exclude precincts that overlap ZIP code boundaries.
Randomization procedure: 
We followed a blocked-and-clustered random assignment procedure. We grouped ZIP codes into matched trios according to their precinct size. Blocking on cluster size reduces the threat of bias when cluster sizes are uneven. ZIP codes could be assigned to one of three conditions: a control condition (N = 104) or one of two advertisement conditions (N = 53 each).
Treatment: 
Substantively, the two treatment ads were very similar. Both featured pro-gun control messages that criticized the Republican party for their support of anti-gun control policies. The ads attempted to persuade viewers to vote for Democrats in the 2018 midterm elections because of their position on guns. In one of the ads, guns conspicuously dangle from teachers’ hips as Trump is heard to proclaim “the end of gun-free school zones.” In the other ad, a student texts his mother while his school is locked down during an active shooter incident. Neither of the ads reference specific campaigns or candidates; instead, they direct viewers’ attention to the partisan differences on gun control policy.
Treatment administration: 
Web delivered
Outcome measures: 
vote share
Archive date: 
2023
Terms of use: 

ISPS Data Archive: Terms of Use .

Data file numbersort descending Description File format Size File url
D187F01 README .txt 3216 Download file
D187F02 Data: zip_code_level .rds 98425 Download file
D187F02.1 Data: zip_code_level .csv 183719 Download file
D187F03 Data: precinct_level .rds 606915 Download file
D187F03.1 Data: precinct_level .csv 444307 Download file
D187F04 Program: zip_code_level_analysis .r 5126 Download file
D187F05 Program: precinct_level_analysis .r 5584 Download file
D187F06 Program: precinct_level_analysis_CD .r 6287 Download file
D187F07 Program: precinct_level_randomization_inference .r 3595 Download file
D187F08 Program: bayesian_learning .r 4289 Download file
D187F09 Program: in_text_calculations .r 1015 Download file
D187F10 Program: design_tests .r 2680 Download file
D187F11 Program: design_diagnosis .r 5508 Download file
D187F12 Program: equivalence_tests .r 3865 Download file
D187F13 Curator README .txt 775 Download file
D187F14 Metadata (DDI 3.2) .xml 437053 Download file