Campaign Ads and Vote Choice

Last registered on September 25, 2017

Pre-Trial

Trial Information

General Information

Title
Campaign Ads and Vote Choice
RCT ID
AEARCTR-0002458
Initial registration date
September 24, 2017

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
September 25, 2017, 2:51 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Columbia University

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2017-07-01
End date
2017-09-24
Secondary IDs
Abstract
The present paper offers a concise plan for analyzing several related field experiment to be conducted during the 2017 federal election campaign in Germany. Given time constraints, I merely focus on the analysis I plan to conduct once the outcome data is available. Theoretical considerations will only be touched upon briefly. In case of any inconsistencies or shortcomings, I will rely on the standard operating procedures presented in Green and Lin (2016).
External Link(s)

Registration Citation

Citation
Rink, Anselm. 2017. "Campaign Ads and Vote Choice." AEA RCT Registry. September 25. https://doi.org/10.1257/rct.2458-1.0
Former Citation
Rink, Anselm. 2017. "Campaign Ads and Vote Choice." AEA RCT Registry. September 25. https://www.socialscienceregistry.org/trials/2458/history/21776
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2017-08-01
Intervention End Date
2017-09-24

Primary Outcomes

Primary Outcomes (end points)
Vote choice
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We randomly assign postal districts to campaign ads.
Experimental Design Details
Randomization Method
Randomization done by a computer.
Randomization Unit
Postal district.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
6,000
Sample size: planned number of observations
6,000
Sample size (or number of clusters) by treatment arms
3,000
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials