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

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
December 23, 2014, 10:20 PM EST

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

Last updated
December 30, 2016, 2:29 PM EST

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

Locations

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 (Hidden)
The Smart Data project examines how providing administrators with visualized administrative data affects their knowledge of 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. The study population for this project is Bihar’s District Magistrates, District Development Commissioners, and MGNREGA Block Program Officers, of which there are approximately 575 officers throughout the state. Our study partner is Bihar’s Rural Development Department.

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). The ranking system, which tracks year-to-date performance in major implementation areas such as works completion , timely wage payments, and implementation of social audits, was developed by Bihar’s Rural Development Department. Ranking dashboards provide administrators with easy access to user-friendly information on their performance over time with respect to the different indicators and compared to comparator groups using tables, graphs, and maps. Block-level dashboards provide this information for blocks and Gram Panchayats, India’s lowest administrative division, in a similar fashion. The control districts in the study will be sent a non-visualized version of this information in order to isolate the causal impact of the dashboards from changes in information provision or contact regarding MGNREGA rankings. District and block rankings will be constructed monthly by our study team using MGNREGA administrative data. PDF versions of the rankings dashboards will be sent by email each month to officials in treatment districts, and an Excel spreadsheet with ranking information will be sent to officials in control districts by email at the same time each month.
We will investigate several areas in which officials may be affected by the dashboards. First, do dashboards change the accuracy of district and block officials’ perceptions on their performance in MGNREGA? To answer this, we will track accuracy of officials’ reports of their absolute and relative performance in MGNREGA throughout the study period. Belief accuracy will be investigated using deviations and absolute deviations of officials’ reports of how well they perform in MGNREGA on specific indicators (ranking and actual values of indicators) relative to administrative data and rankings.

We also will examine whether dashboards change officials’ demand for administrative data and data use practices. Behaviors will be examined comparing officials’ self-reported methods of obtaining information, frequency of consulting administrative data, and related measures. Web usage statistics of the MGNREGA MIS at the district level will also be used to understand if receiving visualized reports increases demand for administrative data more generally.

Finally, we will track performance in MGNREGA, both generally and with respect to specific rankings, over time to understand whether officials with visualized information more effectively improve program outcomes compared to those in the control group. It is important to note at the outset that we do not a priori expect dashboards will impact these outcomes since although dashboards may help officials identify program successes and failures, they do not highlight how to improve implementation.
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

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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