Social Pressure and Voter Turnout: Evidence from a Large-Scale Field Experiment

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ISPS ID: 
D001
Suggested citation: 

Gerber, Alan S., Donald P. Green, and Christopher W. Larimer, 2008, Replication Materials for “Social Pressure and Voter Turnout: Evidence from a Large-Scale Field Experiment.” http://hdl.handle.net/10079/c7507a0d-097a-4689-873a-7424564dfc82. ISPS Data Archive.

Author(s): 

Christopher W. Larimer, Donald P. Green, Alan S. Gerber

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

“Qualified Voter File” (QVF), the official state voter list (as constructed by Mark Grebner at Practical Political Consulting)

Data source information: 

isps(at)yale(dot)edu

Field Date: 
2006-08
Location: 
Location details: 
Michigan
Unit of observation: 
Individual
Sample size: 
180,002 households; 344,084 individuals/registered voters
Inclusion/exclusion: 
Households in the state of Michigan: The targeting criteria used in this mailing campaign were developed by a political consultant, Mark Grebner who uses targeting criteria based on a combination of address information readily available from the Qualified Voter File (QVF) and a set of proprietary indices of partisanship and voting behavior developed by his consulting firm. Grebner’s targeting objective was to direct mailings to those who were thought to be especially responsive to them. Mailings were therefore sent to voters whose expected probability of voting was deemed to be moderate. Those believed to be strong Democrats were excluded on the grounds that they had little chance of voting in an election that was meaningful mainly to Republicans. Absentee voters were excluded because they were believed to vote early, before the receipt of these mailings. Sparsely populated streets were excluded because the Neighbors treatment requires the voting histories of several neighbors. Apartment addresses were excluded because apartment numbers are sometimes unreliable, and it is hard to be certain which voters belong to the same household... We removed everyone for whom we could not assign a valid 9-digit ZIP, people who live on blocks where more than 10% of the addresses included apartment numbers, people who live on streets with fewer than four addresses (or fewer than 10 voters). Prior to random assignment we also removed households with the following characteristics: all members of the household had over a 60% probability of voting by absentee ballot if they voted or all household members had a greater than a 60% probability of choosing the Democratic primary rather than the Republican primary. Absentees were removed because it was thought that many would have decided to vote or not prior to receipt of the experimental mailings, which were sent to arrive just a few days before the election. Those considered overwhelmingly likely to favor the Democratic primary were excluded because it was thought that, given the lack of contested primaries, these citizens would tend to ignore pre election mailings. We removed everyone who lived in a route where fewer than 25 households remained, because the production process depended on using carrier-route-presort standard mail. Finally, we removed all those who had abstained in the 2004 general election on the grounds that those not voting in this very high turnout election were likely to be “deadwood”—those who had moved, died, or registered under more than one name.
Randomization procedure: 
Households were randomly assigned to either the control group or one of four treatment groups described next. Each treatment group consisted of approximately 20,000 households, with 99,999 households in the control group. The 180,002 households were sorted exactly into the order required by the USPS for “ECRLOT” eligibility (approximately: by ZIP, carrier route; then the order in which the carrier walks the route). The 180,002 households were then divided into 10,000 cells of 18 households each, with each cell consisting of households 1–18, 19–36, and so forth, of the sorted file. As a result, after sorting, each cell consisted entirely of either one or two carrier routes. A random number was generated and the entire 180,002 records were sorted by cell number and the random number. The effect was to leave all the cells together, but in a random order. Using this randomly sorted copy of the file, the records were assigned to treatments 1/1/2/2/3/3/4/4/c/c/c/c/c/c/c/c/c/c where “c” indicates “control group.” The records were then resorted into carrier route order.
Treatment: 
Mailing; Households assigned to treatment groups were sent one mailing 11 days prior to the primary election. There were 4 conditions: Civic Duty, Hawthorne, Self, and Neighbors and a Control group.
Treatment administration: 
Mail
Outcome measures: 
Turnout in 2006 local elections
Archive date: 
2020
Owner: 
Gerber, Alan S., Donald P. Green, and Christopher W. Larimer
Owner contact: 

isps(at)yale(dot)edu

Terms of use: 

ISPS Data Archive: Terms of Use.

Discipline: 
Area of study: 
Data file numbersort descending Description File format Size File url
D001F01 Dataset (individuals) Excel .csv 32744038 Download file
D001F02 Dataset (individuals) .dta 41293806 Download file
D001F03 Dataset (households) Excel .csv 7077888 Download file
D001F04 Dataset (households) .dta 14365491 Download file
D001F05 Program file .do 1509 Download file
D001F06 Output file .txt 16076 Download file
D001F07 Program file R (2.9.1) .R 4022 Download file
D001F08 Output file .log 10240 Download file
D001F09 Treatment materials Adobe Acrobat (8.1) .pdf 808960 Download file
D001F13 Metadata (DDI 3.2) .xml 202202 Download file
D001F14 Footnote 10 - output .smcl 74081 Download file
D001F15 Footnote 10 -- .do file .do 12035 Download file