Bottom-Up Transparency Initiatives to Reduce Corruption

Last registered on August 23, 2018

Pre-Trial

Trial Information

General Information

Title
Bottom-Up Transparency Initiatives to Reduce Corruption
RCT ID
AEARCTR-0003108
Initial registration date
August 22, 2018

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
August 23, 2018, 7:10 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Paris School of Economics

Other Primary Investigator(s)

PI Affiliation
Paris School of Economics

Additional Trial Information

Status
In development
Start date
2018-08-23
End date
2019-04-30
Secondary IDs
Abstract
Transparency interventions frequently rely on a top-down approach in which a policymaker or external entity demands information about activity in a particular sector. Bottom-up transparency interventions differ by offering citizens the opportunity to directly initiate efforts to improve public goods or services. However, to effectively implement these initiatives, citizens need information about where and how to best target their efforts.

Questions:
● Where are the best entry points for citizen to target their efforts?
● What approaches are most effective in seeking to improve public services through
greater transparency
External Link(s)

Registration Citation

Citation
Eynde, Oliver Vanden and Liam Wren-Lewis. 2018. "Bottom-Up Transparency Initiatives to Reduce Corruption." AEA RCT Registry. August 23. https://doi.org/10.1257/rct.3108-1.0
Former Citation
Eynde, Oliver Vanden and Liam Wren-Lewis. 2018. "Bottom-Up Transparency Initiatives to Reduce Corruption." AEA RCT Registry. August 23. https://www.socialscienceregistry.org/trials/3108/history/33450
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2018-08-23
Intervention End Date
2018-08-30

Primary Outcomes

Primary Outcomes (end points)
(Described in hidden part)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will randomnly carry out our intervention across the state.
Experimental Design Details
Randomization Method
We randomized using Stata, stratifying on district and distance to nearest town (from the 2011 census). Treatment and control villages were those villages that were marked as having a PHC in the 2011 census and we could match to our list of PHCs taken from administrative data.
Randomization Unit
Public Information Officers
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
306 Public Information Officers
Sample size: planned number of observations
For survey data: 96 Public Information Officers and 96 units linked to the public information officers For administrative data: 306 Public Information Officers and all units linked to the public information officers (approximately 2000)
Sample size (or number of clusters) by treatment arms
158 Public Information Officers treated, 148 Public Information Officers control
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

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