Using a randomized control trial, this paper studies an at-scale preschool construction program which serves disadvantaged poor communities in rural Mozambique. Complementing the construction of preschools, the program hired local instructors and provided parenting education sessions. We find that the program showed high take up rates, significantly increasing access to preschool education. Relative to a small base of 2% of children in control communities enrolled in preschool, the intervention raised preschool enrollment rates in treated communities by 73 percentage points. The program also had significant positive effects on enrollment in and progression through primary school, with a 6 percentage points increase in enrollment in first grade at age 6, and a 0.16 standard deviation impact on an index of cognitive and social-emotional skills. Using machine learning tools, we estimate substantial heterogeneity by child development skills at baseline. Moreover, the program caused parents in treated communities to invest more time in supporting their primary-school-aged children and showed statistically significant impacts on siblings’ preschool attendance.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
– OS: Windows 11 Enterprise
– Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
– Memory available: 15.7 GB
– Software version: Stata version 18
~8 minutes runtime as currently set up
~9 hours runtime when changing the number of iterations as explained in the Main do file.
To successfully replicate this package, new users should follow these steps:
All the data used in this study is public but must be obtained through the World Bank's Microdata library.
Author | Affiliation | |
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Marina Bassi | World Bank | mbassi@worldbank.org |
Bruno Besbas | bruno.besbas@protonmail.com | |
Lelys Dinarte-Diaz | World Bank | ldinartediaz@worldbank.org |
Saravana Ravindran | Lee Kuan Yew School of Public Policy, National University of Singapore | saravana@nus.edu.sg |
Ana Reynoso | University of Michigan | areynoso@umich.edu |
2024-06
Location | Code |
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Mozambique | MOZ |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Lelys Dinarte-Diaz | World Bank | ldinartediaz@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-06-10
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