Evaluating impact of informational framing of childcare benefits on prioritizing childcare as a community investment

Last registered on April 06, 2026

Pre-Trial

Trial Information

General Information

Title
Evaluating impact of informational framing of childcare benefits on prioritizing childcare as a community investment
RCT ID
AEARCTR-0018257
Initial registration date
March 31, 2026

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
April 06, 2026, 7:51 AM EDT

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

Locations

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Primary Investigator

Affiliation
World Bank

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2025-12-08
End date
2026-12-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study examines how households in the Kyrgyz Republic perceive and prioritize childcare services in the context of community-driven development (CDD) investments. While a large literature documents the benefits of early childhood education and development (ECED) programs for children's cognitive and socio-emotional outcomes — as well as the role of childcare availability in enabling maternal labor force participation — relatively little is known about how households in low-income, rural settings weigh these two dimensions of childcare value. This distinction matters because take-up and political support for childcare programs may depend not only on objective impacts but on how those impacts are communicated and perceived. Using a randomized informational intervention embedded in the World Bank–supported National Community Initiatives Project (NCIP), the study evaluates whether framing childcare benefits in terms of child development versus maternal employment and household welfare differentially affects households' prioritization of childcare in community-level project voting. It aims to elucidate which considerations resonate most strongly with residents and how communication strategies can be designed to support childcare policy.
External Link(s)

Registration Citation

Citation
Perova, Elizaveta. 2026. "Evaluating impact of informational framing of childcare benefits on prioritizing childcare as a community investment." AEA RCT Registry. April 06. https://doi.org/10.1257/rct.18257-1.0
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Experimental Details

Interventions

Intervention(s)
The intervention consists of an online informational module embedded in a questionnaire administered to residents of randomly assigned villages, with villages serving as the unit of randomization across three arms. The control group receives a standard questionnaire covering demographic and labor questions alongside a question about their views on kindergarten attendance. The two treatment arms receive the same baseline questionnaire augmented with a short informational text: Treatment 1 emphasizes the child development benefits of childcare attendance — including school readiness, cognitive development, and health monitoring — citing statistics from UNICEF and the Kyrgyz Ministry of Education; Treatment 2 emphasizes the maternal employment and household welfare benefits of affordable childcare, citing World Bank research on the effects of childcare availability on maternal labor force participation and household income. Both treatments are followed by an additional question gauging whether the information shifted respondents' views. The informational texts were matched in length and tone across treatment arms, translated into Kyrgyz by a social scientist with extensive regional fieldwork experience, and piloted with field staff recruited from the intervention areas to ensure clarity and ease of completion.
Intervention Start Date
2025-12-08
Intervention End Date
2025-12-12

Primary Outcomes

Primary Outcomes (end points)
There are three outcome variables which capture prioritization of childcare vis-à-vis alternative investments at different levels: focus-groups across villages, village, and individual. These outcomes map onto the sequential stages of the CDD process as follows: first, several focus groups (such as women, vulnerable, youth, farmers, elderly) meet to discuss priorities. Second, all potential investments identified as relevant for the village by different groups are included in the list from which individuals can choose. Third, individuals vote through an online platform and select priority project.
To capture this process, we define 3 dummy variables:
• ChildcareFG_vg is equal to 1 if a focus group g in village v included childcare in its list of priorities.
• ChildcareSelected_v is equal to 1 if childcare was selected by majority vote in village v to receive investment through the CDD project, from the consolidated list of priorities.
• ChildcareVote_i is equal to 1 if an individual i cast her/his vote for childcare.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
339 villages, which participate in the NCIP CDD project, are randomly assigned to one of the three study arms, with 113 villages in each arm. All individuals within a given village, who registered to be a part of village project WhatsApp group, receive the same version of one of the three questionnaires (one control and two information treatments) corresponding to the village’s assignment. 60,000 registered and 37,897 completed the questionnaires.
Randomization at the village level minimizes information spillovers between treatment arms that could arise if households within the same village were exposed to different messages. Balance across treatment arms will be assessed using village level characteristics, available from administrative data on village population, number of children aged 0 to 5, and availability of childcare. No re randomization or re weighting will be conducted.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer in Excel.
Randomization Unit
339 villages
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
339
Sample size: planned number of observations
186,838 individuals
Sample size (or number of clusters) by treatment arms
Each treatment arm includes 113 villages. The number of voters per village has not been predetermined and is beyond experimenter's direct 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
Analysis Plan

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