Burkina Faso - Bright II 2012-2013

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Millennium Challenge Corporation hired Mathematica Policy Research to conduct an independent evaluation of the BRIGHT II program. The three main research questions of interest are: • What was the impact of the program on school enrollment, attendance, and retention? • What was the impact of the program on test scores? • Are the impacts different for girls than for boys? Mathematica will compare data collected from the 132 communities served by BRIGHT II (the "treatment group") with that collected from the 161 communities that applied but were not selected for the program (the "comparison group"). Using a statistical technique called regression discontinuity, Mathematica will compare the outcomes of the treatment villages just above the cutoff point to the outcomes of the comparison villages just below the cutoff point. If the intervention had an impact, we will observe a "jump" in outcomes at the point of discontinuity. Mathematica will perform additional analyses to estimate the overall merit of the BRIGHT investment. By conducting a cost-benefit analysis and a cost-effectiveness analysis and calculating the economic rate of return, Mathematica will be able to answer questions related to the sustainability of the program, and compare the program to interventions and social investments in other sectors. The household survey is designed to capture household-level data rather than community-level data; however, questions have been included to measure head-of-household expectations of educational attainment. These questions ask the head of household what grade level he hopes each child will attain; and what grade level he thinks the child will be capable of achieving in reality.

Type: 
Microdata
Acronym: 
MCC-B 2012-13
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Burkina Faso
Economy Coverage: 
Economy Coverage not specified
Release Date: 
May 28, 2015

Last Updated

Last Updated: 
March 21, 2019

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
7496
Reference ID: 

BFA_2012_MCC-B_v01_M

Version Description: 
Anonymized dataset for public distribution
Funding Name, Abbreviation, Role: 
Millennium Challenge Corporation
Study Type: 
Independent Impact Evaluation
Unit of Analysis: 
Households
Universe: 
Households, students, and educators in the 287 villages surveyed
Primary Investigator Name, Affiliation: 
Mathematica Policy Research
Sampling Procedure: 
The BRIGHT II program was implemented in the same 132 villages that received the BRIGHT I interventions. These 132 villages were originally selected using a scoring process, with eligibility scores based on the villages’ potential to improve girls’ educational outcomes. A total of 293 villages applied to receive a BRIGHT school; the Burkina Faso Ministry of Basic Education (MEBA) selected the 132 villages with scores that were above a certain cutoff point. Whenever possible, the survey will be conducted with the same children in the same households and schools surveyed during the BRIGHT I evaluation. By visiting the same households and schools, the evaluator will be able to better assess the longer-term impacts of the BRIGHT project.
Questionnaires: 
Mathematica has developed two surveys, a household survey and a school survey, to collect relevant data from villages in both the treatment and comparison groups. The household survey was administered to a new cross-section of households compared to the BRIGHT I evaluation. Data will be collected on the attendance and educational attainment of school-age children in the household, attitudes towards girls' education, and parental assessment of the extent to which the complementary interventions influenced school enrollment decisions. It will also assess the performance of all household children on basic tests of French and math. The school survey, to be administered to all local schools in the 293 villages, gathers data on school characteristics, personnel, and physical structure, and collects enrollment and attendance records. Data will be gathered by a local data collection firm selected by MCA-Burkina Faso, with Mathematica providing technical assistance and oversight.
Data Collector(s) Name: 
Bureau d'Etudes et de Recherche pour le Développement
Data Editing: 
Following data collection, Mathematica will work with BERD to ensure that the data are correctly entered and are complete and clean. This will include a review of all frequencies for out-of-range responses, missing data, or other problems, as well as a comparison between the data and paper copies for a random selection of variables.
Time Periods: 
August, 2017

No Visualizations Available.

Levy, Dan, Matt Sloan. 2012. Impact Evaluation of Burkina Faso's BRIGHT II Program. Washington, D.C.; Mathematica Policy Research, Inc.

Millennium Challenge Corporation hired Mathematica Policy Research to conduct an independent evaluation of the BRIGHT II program. The three main research questions of interest are: • What was the impact of the program on school enrollment, attendance, and retention? • What was the impact of the program on test scores? • Are the impacts different for girls than for boys? Mathematica will compare data collected from the 132 communities served by BRIGHT II (the "treatment group") with that collected from the 161 communities that applied but were not selected for the program (the "comparison group"). Using a statistical technique called regression discontinuity, Mathematica will compare the outcomes of the treatment villages just above the cutoff point to the outcomes of the comparison villages just below the cutoff point. If the intervention had an impact, we will observe a "jump" in outcomes at the point of discontinuity. Mathematica will perform additional analyses to estimate the overall merit of the BRIGHT investment. By conducting a cost-benefit analysis and a cost-effectiveness analysis and calculating the economic rate of return, Mathematica will be able to answer questions related to the sustainability of the program, and compare the program to interventions and social investments in other sectors. The household survey is designed to capture household-level data rather than community-level data; however, questions have been included to measure head-of-household expectations of educational attainment. These questions ask the head of household what grade level he hopes each child will attain; and what grade level he thinks the child will be capable of achieving in reality.

FieldValue
Modified Date
2019-04-12
Release Date
Identifier
8e00d76b-36c4-464f-8e77-7d3d425fbaa7
License
License Not Specified
Contact Email
Rating: 
0
No votes yet
Reference ID: 
BFA_2012_MCC-B_v01_M
Acronym: 
MCC-B 2012-13
Type: 
Languages Supported: 
Time Periods: 
August, 2017
Data Collector(s) Name: 
Bureau d'Etudes et de Recherche pour le Développement
Economy Coverage: 
Primary Investigator Name, Affiliation: 
Mathematica Policy Research
Funding Name, Abbreviation, Role: 
Millennium Challenge Corporation
Terms of Use: 
Version Description: 
Anonymized dataset for public distribution
Unit of Analysis: 
Households
Universe: 
Households, students, and educators in the 287 villages surveyed
Geographical Coverage: 
Data Classification of a Dataset: 
Sampling Procedure: 
The BRIGHT II program was implemented in the same 132 villages that received the BRIGHT I interventions. These 132 villages were originally selected using a scoring process, with eligibility scores based on the villages’ potential to improve girls’ educational outcomes. A total of 293 villages applied to receive a BRIGHT school; the Burkina Faso Ministry of Basic Education (MEBA) selected the 132 villages with scores that were above a certain cutoff point. Whenever possible, the survey will be conducted with the same children in the same households and schools surveyed during the BRIGHT I evaluation. By visiting the same households and schools, the evaluator will be able to better assess the longer-term impacts of the BRIGHT project.
Release Date: 
Thursday, May 28, 2015
Last Updated Date: 
Thursday, March 21, 2019
Questionnaires: 
Mathematica has developed two surveys, a household survey and a school survey, to collect relevant data from villages in both the treatment and comparison groups. The household survey was administered to a new cross-section of households compared to the BRIGHT I evaluation. Data will be collected on the attendance and educational attainment of school-age children in the household, attitudes towards girls' education, and parental assessment of the extent to which the complementary interventions influenced school enrollment decisions. It will also assess the performance of all household children on basic tests of French and math. The school survey, to be administered to all local schools in the 293 villages, gathers data on school characteristics, personnel, and physical structure, and collects enrollment and attendance records. Data will be gathered by a local data collection firm selected by MCA-Burkina Faso, with Mathematica providing technical assistance and oversight.
Data Editing: 
Following data collection, Mathematica will work with BERD to ensure that the data are correctly entered and are complete and clean. This will include a review of all frequencies for out-of-range responses, missing data, or other problems, as well as a comparison between the data and paper copies for a random selection of variables.
Harvest Source: 
Harvest System ID: 
7496
Citation Text: 
Levy, Dan, Matt Sloan. 2012. Impact Evaluation of Burkina Faso's BRIGHT II Program. Washington, D.C.; Mathematica Policy Research, Inc.
Modified date: 
17976
Study Type: 
Independent Impact Evaluation
Primary Dataset: 
Yes

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