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Do Perceptions of Public Good Quality Affect Support? Evidence from Higher Education Appropriations
Last registered on May 03, 2021

Pre-Trial

Trial Information
General Information
Title
Do Perceptions of Public Good Quality Affect Support? Evidence from Higher Education Appropriations
RCT ID
AEARCTR-0007619
Initial registration date
May 01, 2021
Last updated
May 03, 2021 12:26 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
Other Primary Investigator(s)
PI Affiliation
University of Michigan
PI Affiliation
University of Michigan
Additional Trial Information
Status
In development
Start date
2021-05-03
End date
2021-05-31
Secondary IDs
Abstract
We conduct a survey experiment to understand how beliefs regarding local public good quality affect support for public spending, using US state spending on higher education as a concrete example. Participants will be randomized into three groups. The first treatment group receives information about the graduation rate at public colleges in their state, a measure of the output quality. The second treatment group receives this same information as well as the state's graduation rate rank. The control group receives no information. We will measure the extent to which this information changes preferences for spending and other higher education policies. We will also examine how effect heterogeneity by political partisanship, attachment to the higher education system, and errors in beliefs.
External Link(s)
Registration Citation
Citation
Hurst, Reuben, Michael Ricks and Andrew Simon. 2021. "Do Perceptions of Public Good Quality Affect Support? Evidence from Higher Education Appropriations." AEA RCT Registry. May 03. https://doi.org/10.1257/rct.7619-1.0.
Experimental Details
Interventions
Intervention(s)
Please see pre-analysis plan
Intervention Start Date
2021-05-03
Intervention End Date
2021-05-31
Primary Outcomes
Primary Outcomes (end points)
Please see pre-analysis plan
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Please see pre-analysis plan
Experimental Design Details
Randomization Method
Randomization done by a computer on Qualtrics
Randomization Unit
individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
About 3700
Sample size: planned number of observations
About 3700
Sample size (or number of clusters) by treatment arms
About 1225 subjects in each of 3 group (control plus 2 treatments)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University of Michigan Institutional Review Boards
IRB Approval Date
2020-10-27
IRB Approval Number
HUM00189332
Analysis Plan

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Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is 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