Improving application rates into the RTE quotas in private schools: Evidence from Chhattisgarh

Last registered on November 18, 2022


Trial Information

General Information

Improving application rates into the RTE quotas in private schools: Evidence from Chhattisgarh
Initial registration date
November 18, 2022

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
November 18, 2022, 12:33 PM EST

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



Primary Investigator


Other Primary Investigator(s)

PI Affiliation
Stockholm School of Economics

Additional Trial Information

Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
We evaluate an intervention to raise application rates to RTE quota seats (under Clause 12(1)(c)) in Chhattisgarh. The intervention offered more detailed information about the policy (such as application deadlines, eligibility criteria, and required documentation), combined with in-person assistance for submitting online applications. This intervention was delivered to 459 households that were randomly selected from 914 households in a representative household sample.
External Link(s)

Registration Citation

Romero, Mauricio and Abhijeet Singh. 2022. "Improving application rates into the RTE quotas in private schools: Evidence from Chhattisgarh." AEA RCT Registry. November 18.
Experimental Details


the intervention was implemented between April 15 to May 2, 2022 and consisted of the following, sequential, steps:

1) Call all treatment households to offer information and potential support to apply for a quota seat (if eligible). If households could not be reached on the phone number they provided, we revisited the household to elicit this information.
2) Households were asked if they had heard about the RTE quota, whether they knew that the applications were currently open, whether they had thought already of applying to the program, and if they were interested in receiving more information.
3) Interested households were provided detailed information on the eligibility criteria for the policy and the documents required for demonstrating eligibility. Surveyors collected information on each of the documents that the household reported having.
4) If a household reported having all documents, we offered application support and made an appointment to visit the household. If a household did not have all the documents, we provided information on where they could obtain the necessary documentation. Applicants were provided a number that they could call if they succeeded in getting these documents to receive further support.
5) For interested households (which reported having all documents), an interviewer visited them at home to help them fill out the application online. They filled out identifying details, uploaded the documents, showed the households the list of schools available in the portal for their area, and ranked the schools as directed by the parents. If parents wanted, they could submit the forms immediately. If they wanted more time to think about it, the surveyor saved the form and provided the household with the relevant login details so they could submit themselves later.
Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Knowledge of the RTE quota policy
Application to an RTE seat
Assignment to an RTE seat
Enrollment to an RTE seat
Enrollment to private school
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Investigating application behavior requires representative data on quota-eligible students, not just those who applied. We collected this in urban and rural areas of Raipur, which is the most populous district of the state. To draw a representative sample, we first selected a random set of 20 locations each in urban and rural areas of the district. We drew a sample of squares on Google Maps of 1km x 1km in rural areas and 300m x 300m in urban areas. After verifying that these included habitations (e.g., excluding exclusively agricultural land), we identified an anganwadi center towards the center of the square, and re-centered the square around it.

In these locations, in February of 2022 we interviewed all households that had a child aged between 3--5 years of age (N=1,059, identified based on a door-to-door listing of 12,225 households). We measure socioeconomic status using an index created from household ownership of assets, consumer durables, and quality of housing using Principal Components Analysis \citep{filmer2001estimating}.

We restrict our attention to households that reported having a mobile phone at the time of the in-person survey in February 2022 (N=914, out of 1,059 households in total) and randomly assigned $\sim$50\% of households in each locality (N=459) to receive an intervention that lowered barriers to application.
Experimental Design Details
Randomization Method
randomization done in office by a computer using Stata
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
914 households
Sample size: planned number of observations
914 households
Sample size (or number of clusters) by treatment arms
459 treated households
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number


Post Trial Information

Study Withdrawal

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Is the intervention completed?
Intervention Completion Date
May 02, 2022, 12:00 +00:00
Data Collection Complete
Data Collection Completion Date
July 09, 2022, 12:00 +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
Was attrition correlated with treatment status?
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?

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials