Public Goods Provision and Government Size

Last registered on April 10, 2022

Pre-Trial

Trial Information

General Information

Title
Public Goods Provision and Government Size
RCT ID
AEARCTR-0007684
Initial registration date
June 29, 2021

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
July 01, 2021, 8:29 PM EDT

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

Last updated
April 10, 2022, 9:40 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
Tokyo University of Science

Other Primary Investigator(s)

PI Affiliation
Tokyo University of Science
PI Affiliation
Princeton University

Additional Trial Information

Status
Completed
Start date
2021-07-01
End date
2021-07-14
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study examines how people's perceptions on the governmental role of providing public goods affect their policy preferences for the government size. To this end, we conduct an online survey experiment where the information regarding the governmental role of providing public goods is randomly assigned.
External Link(s)

Registration Citation

Citation
Kishishita, Daiki, Tomoko Matsumoto and Atsushi Yamagishi. 2022. "Public Goods Provision and Government Size." AEA RCT Registry. April 10. https://doi.org/10.1257/rct.7684-1.1
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We randomly provide information that emphasizes the governmental role of providing public goods.
Intervention Start Date
2021-07-01
Intervention End Date
2021-07-14

Primary Outcomes

Primary Outcomes (end points)
Policy preferences for taxation and public spending
Primary Outcomes (explanation)
Policy preferences for taxation and public spending. Outcomes include preferences for the government size (e.g., whether one agrees to increase tax rates), preferences for the desirable tax system (e.g., progressive vs. uniform vs. lump-sum), and preferences for public spending (e.g., whether it should be used for helping the poor).

Secondary Outcomes

Secondary Outcomes (end points)
Manipulation check: the perception on the governmental role of providing public goods.
Another outcome: level of political trust
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We conduct an online survey experiment where the information emphasizing the governmental role of providing public goods is randomly assigned.
Experimental Design Details
We conduct an online survey experiment where the information emphasizing the governmental role of providing public goods is randomly assigned. We look at the treatment effect of this information on preferences for taxation and providing public goods.
Randomization Method
Randomization is done by a computer.
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
one country
Sample size: planned number of observations
3000 individuals
Sample size (or number of clusters) by treatment arms
1500 individuals control, 1500 individuals treatment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Significance level: 5%, Power: 80% For a binary outcome where the average of the control is 0.5, the minimum detectable effect size is around 0.05 (5%).
IRB

Institutional Review Boards (IRBs)

IRB Name
Institutional Review Board at Tokyo University of Science
IRB Approval Date
2021-05-18
IRB Approval Number
21003
Analysis Plan

Analysis Plan Documents

pre_analysis_benefit.pdf

MD5: f2a3699493030ccf7fb150ee46b8cb1a

SHA1: 2bb7d49d1661aaccf1f602b58a7275b2bf23763a

Uploaded At: June 29, 2021

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
Yes
Intervention Completion Date
July 11, 2021, 12:00 +00:00
Data Collection Complete
Yes
Data Collection Completion Date
July 11, 2021, 12:00 +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
Final Sample Size (or Number of Clusters) by Treatment Arms
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials