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The Cohort-Effects of Early Childhood Education in Benin

August 26-27, 2025| Accra, Ghana

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#E2A2023

#E2A2023

Oswald Koussihouede

Senior Education Policy Analyst and Planner at UNESCO’s International Institute for Educational Planning

TEAM MEMBERS

Damase Sossou

Principal Evaluation Capacity Development Officer at the African Development Bank

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What we will be discussing:

  • Assess whether preschool has immediate or delayed impacts on reading and mathematics performance.

  • Examine variations by cohorts, gender, location (urban/rural), and socio-economic status.

  • Provide empirical evidence to guide policies on the quality and accessibility of preschool education.

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MOTIVATION & BACKGROUND

  • Early Childhood Education (ECE) is key for long-term learning (Heckman, 2006).

  • Evidence is scarce in low-income contexts, like Benin.
    • Prior studies show delayed and heterogeneous effects (Blimpo & Pugatch, 2021; Mahdjoub et al., 2022).

  • We therefore examined whether preschool attendance in Benin improves primary school outcomes and whether cohort effects play a role.

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  • We demonstrate that ECE in Benin generates long-term improvements in learning outcomes:
    • particularly in mathematics, but only for certain cohorts

  • Program maturity and contextual factors shape its effectiveness.

  • Underscores ECE’s role in strengthening human capital for social and economic development.

  • Advances the field by applying machine-learning techniques to large-scale PASEC assessment data.

SCIENTIFIC CONTRIBUTIONS

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STUDY OBJECTIVES

  • Examine the long-term impact of ECE on learning outcomes in Benin, especially in mathematics.

  • Identify which cohorts benefit most and how contextual factors influence program effectiveness.

  • Fill evidence gaps on ECE in low-income settings to highlight its role in human capital development.

  • Apply innovative machine-learning methods to large-scale PASEC assessment data.

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  • Objective: Improve access and quality of education for children aged 2-5

  • Implementing Organizations:
    • Ministry of Basic Education, Government of Benin

  • Theory of Change: Quality preschool fosters cognitive, emotional, and social development, laying the foundation for future academic success.

DESCRIPTION OF INTERVENTION: PRE-SCHOOL

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  • Children aged 2-5 years, enrolled ECE programs, in urban and rural areas
    • Emphasized the preschool phase (ages 2–3), aiming to support cognitive, social, and emotional development.
    • Prioritized resource-limited rural communities.
  • These children benefit from government initiatives and NGO support designed to expand access and enhance educational quality.

Sample:

  • Stratified sampling to ensure national representativeness and balance across treatment (those attending preschool) and control groups

TARGET POPULATION & SAMPLE

Grade

PASEC 2014 Data

PASEC 2019 Data

Grade 2

700 children

1,600 children

Grade 6

3,000 children

3,800 children

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METHODOLOGY

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How does preschool attendance impact reading and math scores?

  • Intervention: Preschool attendance (self-reported)
  • Outcomes: Reading and math scores

  • Controlling for:
    • Age, grade repetition, socioeconomic status, home learning environment, school infrastructure

Data source:

  • Secondary data from official PASEC surveys (CONFEMEN)

Method: Double-Debiased Machine Learning to estimate treatment effects

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RESULTS:

LARGEST EFFECTS WERE IN 2019 FOR CHILDREN IN GRADE 6

  • 2014 Data:
    • No significant improvement in reading, mathematics, or overall scores in Grade 2 and Grade 6 for children who attended preschool vs. those that did not

  • 2019 Data
    • Cohort effect: children in 2019 had more favorable home environments, better-trained teachers, and more stable schools

2019 Data

Grade 2

Grade 6

  • No notable effects – benefits seem to emerge later
  • Positive effects in mathematics and reading

  • Urban students and those from wealthier backgrounds benefitted the most

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  • Grade level:
    • Effects emerge mainly in Grade 6, not Grade 2.
  • Cohort:
    • 2019 results are significant, not those of 2014, suggesting delayed and improved impact over time

Grade

Value

Model p-value

Holm’s p-value

2014

Language

2

0.15

0.435

1.000

Reading

6

0.124

0.146

1.000

Maths

2

-0.041

0.776

1.000

6

0.126

0.186

1.000

Aggregate score

2

0.031

0.858

1.000

6

0.141

0.152

1.000

2019

Language

2

0.197

0.04

0.720

Reading

6

0.209

0.003

0.057

Maths

2

0.221

0.329

1.000

6

0.283

0

0.000

Aggregate score

2

0.292

0.26

1.000

6

0.273

0

0.000

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RESULTS: HETEROGENEOUS EFFECTS & DISCUSSION

  • Delayed effects:
    • The benefits of preschool education are not immediate but emerge later in the academic journey, particularly by the end of primary school.

  • Higher-quality educational environments—better-trained teachers, stable schools, and engaged families—contribute to positive learning outcomes
    • Rural areas have weak or non-significant effects vs. in urban areas where children have significant gains in reading and math in Grade 6

  • Persistent inequalities:
    • Socioeconomic status matters
    • Children from disadvantaged backgrounds, especially in rural areas, benefit less from the programs

  • Gender effects:
    • Boys show clearer gains, especially in math

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  • Improve pedagogical quality:
    • Strengthen teacher training, ensure stable learning environments, and adopt child-centered curricula.

  • Reduce regional inequalities:
    • Implement targeted interventions in rural and underserved areas through mobile solutions and incentives.

  • Engage families:
    • Enhance parental involvement using tools and structured school-family dialogue platforms.

  • Monitor long-term effects:
    • Establish longitudinal tracking systems to adjust policies based on evidence.

  • Integrate preschool into national strategies:
    • Align early childhood education with broader educational reforms and development priorities.

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POLICY TAKEAWAYS & RECOMMENDATIONS

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