Understanding fairness views and how they affect political views

Last registered on October 22, 2021

Pre-Trial

Trial Information

General Information

Title
Understanding fairness views and how they affect political views
RCT ID
AEARCTR-0008396
Initial registration date
October 22, 2021
Last updated
October 22, 2021, 1:11 PM EDT

Locations

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Primary Investigator

Affiliation
Max Planck Institute for Tax Law and Public Finance

Other Primary Investigator(s)

PI Affiliation
ifo Institute

Additional Trial Information

Status
In development
Start date
2021-10-20
End date
2022-10-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The proposed project aims to analyze the determinants of fairness views in Germany. We examine how fairness views differ across socio-demographic groups, how they are correlated with political attitudes and how information treatments on inter- and intragenerational fairness affect those attitudes and behaviour in an incentivized donation question. To this end, we run an online survey experiment in Germany.
External Link(s)

Registration Citation

Citation
Dolls, Mathias and Lisa Windsteiger. 2021. "Understanding fairness views and how they affect political views." AEA RCT Registry. October 22. https://doi.org/10.1257/rct.8396-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We will examine how fairness views differ across socio-demographic groups, how they are correlated with political attitudes and how information treatments on inter- and intragenerational fairness affect those attitudes, as well as respondents' behavior in an incentivized donation question.
Intervention Start Date
2021-10-20
Intervention End Date
2021-12-31

Primary Outcomes

Primary Outcomes (end points)
Incentivized donation question, political attitudes, fairness views
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Random provision of information about inter- and intragenerational inequality to subgroups of the sample (see attached document)
Experimental Design Details
Not available
Randomization Method
Computer
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1
Sample size: planned number of observations
4900
Sample size (or number of clusters) by treatment arms
1600
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Commission, Department of Economics, University of Munich
IRB Approval Date
2021-09-27
IRB Approval Number
2021-16
Analysis Plan

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