Lesson

Data Analysis for Impact Evaluations

2 December 2022

Lesson Prerequisites

This lesson assumes that you are familiar with the theory and methods of Statistical Inference and Power Calculations. Basic knowledge of Stata syntax and writing code in .do files (Intro to Stata, Stata Best Practices) is also required.

Lesson Materials

Lesson slides

EG DIB year 3 dataset

Additional Resources

IDinsight impact evaluation design and pre-analysis plan template
IDinsight technical report template
IDinsight technical report checklist
DesignDeclare blog on when to use a diff-in-diff or ANCOVA model

Lesson Content

0% Complete 0/8 Steps

Introduction

Leçon 1: La régression linéaire

Leçon 2: Variables de contrôle

Leçon 3: Erreurs standards regroupées

Leçon 4: Méthodes de données de panel

Leçon 5: Effets fixes

Leçon 6: Effets de traitement hétérogènes

Leçon 7: Plan préparatoire de l’analyse

Previous Quiz

Back to Course

Next Topic

News

Call for Expressions of Interest: Advancing decision-relevant evidence on gig work in LMICs

2 September 2026

Project

Building an AI-powered clinical advisor to strengthen frontline healthcare in Ethiopia

25 August 2026

Blog

Could, would, should: What philanthropy owes AI in global development

21 August 2026

Blog

Context as a public good

13 August 2026

Blog

Meeting the need for quantitative measurement in community-led development programs

7 August 2026

Blog

Ensuring responsible AI adoption in African parliaments

28 July 2026

Blog

Can AI strengthen foundational learning in African classrooms?

27 July 2026

Blog

Governing AI: Takeaways from the 2026 AI for Good Global Summit

24 July 2026

Blog

Good evidence as a starting point for more democratic technology

21 July 2026

Blog

Relational strategies for working with parliaments in Africa

14 July 2026

Data Analysis for Impact Evaluations

Lesson Prerequisites

Lesson Materials

Additional Resources

Call for Expressions of Interest: Advancing decision-relevant evidence on gig work in LMICs

Building an AI-powered clinical advisor to strengthen frontline healthcare in Ethiopia

Could, would, should: What philanthropy owes AI in global development

Context as a public good

Meeting the need for quantitative measurement in community-led development programs

Ensuring responsible AI adoption in African parliaments

Can AI strengthen foundational learning in African classrooms?

Governing AI: Takeaways from the 2026 AI for Good Global Summit

Good evidence as a starting point for more democratic technology

Relational strategies for working with parliaments in Africa

Related content

Lesson 1

Intro to the Lesson

Lesson Agenda and Dataset

Lesson 1: The Stata Interface (1): Stata Windows

Lesson Prerequisites

Lesson Materials

Additional Resources

Call for Expressions of Interest: Advancing decision-relevant evidence on gig work in LMICs

Building an AI-powered clinical advisor to strengthen frontline healthcare in Ethiopia

Could, would, should: What philanthropy owes AI in global development

Context as a public good

Meeting the need for quantitative measurement in community-led development programs

Ensuring responsible AI adoption in African parliaments

Can AI strengthen foundational learning in African classrooms?

Governing AI: Takeaways from the 2026 AI for Good Global Summit

Good evidence as a starting point for more democratic technology

Relational strategies for working with parliaments in Africa

Related content

Lesson 1

Intro to the Lesson

Lesson Agenda and Dataset

Lesson 1: The Stata Interface (1): Stata Windows

Stay up-to-date with IDinsight