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Smart Data: Can Visualized Administrative Data Help Inform and Hold Public Stakeholders Accountable?
Last registered on December 30, 2016

Pre-Trial

Trial Information
General Information
Title
Smart Data: Can Visualized Administrative Data Help Inform and Hold Public Stakeholders Accountable?
RCT ID
AEARCTR-0000481
Initial registration date
December 23, 2014
Last updated
December 30, 2016 2:29 PM EST
Location(s)
Region
Primary Investigator
Affiliation
Yale University
Other Primary Investigator(s)
PI Affiliation
Harvard University
PI Affiliation
Harvard University
Additional Trial Information
Status
On going
Start date
2014-10-01
End date
2016-12-31
Secondary IDs
Abstract
The Smart Data project examines how providing administrators with visualized administrative data affects their beliefs regarding their locality’s implementation of MGNREGA, India’s large-scale public works program, and whether receiving visualized versions of administrative data affects administrators’ data appetite and usage.
External Link(s)
Registration Citation
Citation
Dodge, Eric, Charity Moore and Rohini Pande. 2016. "Smart Data: Can Visualized Administrative Data Help Inform and Hold Public Stakeholders Accountable?." AEA RCT Registry. December 30. https://doi.org/10.1257/rct.481-3.0.
Former Citation
Dodge, Eric, Charity Moore and Rohini Pande. 2016. "Smart Data: Can Visualized Administrative Data Help Inform and Hold Public Stakeholders Accountable?." AEA RCT Registry. December 30. https://www.socialscienceregistry.org/trials/481/history/12882.
Experimental Details
Interventions
Intervention(s)
We will distribute visualized versions of district ranking report cards to one half of relevant district and block administrators overseeing the Indian state of Bihar's public works program (NREGA). Officials working in control areas will receive non-visualized versions of the information.
Intervention Start Date
2016-01-15
Intervention End Date
2016-12-31
Primary Outcomes
Primary Outcomes (end points)
We will study the role of dashboard provision on officials' beliefs about their performance in the program (relative ranking to comparator groups and how this ranking has evolved over time) and their management practices (how frequently and by what means they follow-up with implementation problems).
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
The study is a randomized control trial that randomizes receipt of MGNREGA ranking dashboards at the district level. The state’s 38 districts will be stratified based on agroclimatic zones (Northern West, Northern East, Southern East, and Southern West), followed by pair matching within stratum based on districts’ average previous ranking for available months (June 2013 – February 2014).
Experimental Design Details
Randomization Method
Randomization in office by a computer.
Randomization Unit
District
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
38 districts
Sample size: planned number of observations
Approximately 550 respondents
Sample size (or number of clusters) by treatment arms
Approximately 250 officials, spread across 19 districts, will belong to each treatment arm. Respondents will be interviewed at baseline, endline, and at least once during the intervention. (Contact with respondents will be randomly varied.)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Harvard Human Research Protection Program
IRB Approval Date
2014-07-29
IRB Approval Number
IRB14-2545
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 and Papers
Preliminary Reports
Relevant Papers