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

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Data Analysis for Impact Evaluations

Lesson Prerequisites

Lesson Materials

Additional Resources

Understanding the gig economy: Lessons from drivers in India, Indonesia, and Kenya

Data infrastructure and institutional readiness as the foundation for AI impact

Doing more with less: What a room full of global development leaders said about cost-effectiveness

Focusing Dignity

How to prepare your organization for impactful AI adoption

Observations from CIES 2026: What the education field is actually wrestling with

Turning cost data into a tool for impact

Ronald Abraham succeeds Neil Buddy Shah as IDinsight Board Chair

IDinsight and the National Assembly of Zambia sign Memorandum of Understanding to strengthen evidence-based governance

Delivering Resilient Enterprises and Market Systems (DREAMS) – Impact Evaluations

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

Understanding the gig economy: Lessons from drivers in India, Indonesia, and Kenya

Data infrastructure and institutional readiness as the foundation for AI impact

Doing more with less: What a room full of global development leaders said about cost-effectiveness

Focusing Dignity

How to prepare your organization for impactful AI adoption

Observations from CIES 2026: What the education field is actually wrestling with

Turning cost data into a tool for impact

Ronald Abraham succeeds Neil Buddy Shah as IDinsight Board Chair

IDinsight and the National Assembly of Zambia sign Memorandum of Understanding to strengthen evidence-based governance

Delivering Resilient Enterprises and Market Systems (DREAMS) – Impact Evaluations

Related content

Lesson 1

Intro to the Lesson

Lesson Agenda and Dataset

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

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