Running Randomized Evaluations: A Practical Guide
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  • 1: Introduction 2: Why Randomize? 3: What Questions? 4: Randomizing 5: Outcomes 6: Statistical Power 7: Threats 8: Analysis 9: Policy Lessons
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Running Randomized Evaluations: A Practical Guide

  • Running Randomized Evaluations/
    • Home
    • About the Book
    • About the Authors
    • Reviews
    • News + Events
    • Contact
  • Course Details/
    • Course Details
  • Chapters/
    • 1: Introduction
    • 2: Why Randomize?
    • 3: What Questions?
    • 4: Randomizing
    • 5: Outcomes
    • 6: Statistical Power
    • 7: Threats
    • 8: Analysis
    • 9: Policy Lessons
  • Resources/
    • Case Studies
    • Exercises
    • Lecture Notes
    • Data
  • Blog/
  • Buy the Book/
    • Amazon
    • Barnes & Noble
    • Google play
    • Princeton University Press

Running Randomized Evaluations: A Practical Guide

Exercises

Running Randomized Evaluations: A Practical Guide

  • Running Randomized Evaluations/
    • Home
    • About the Book
    • About the Authors
    • Reviews
    • News + Events
    • Contact
  • Course Details/
    • Course Details
  • Chapters/
    • 1: Introduction
    • 2: Why Randomize?
    • 3: What Questions?
    • 4: Randomizing
    • 5: Outcomes
    • 6: Statistical Power
    • 7: Threats
    • 8: Analysis
    • 9: Policy Lessons
  • Resources/
    • Case Studies
    • Exercises
    • Lecture Notes
    • Data
  • Blog/
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Exercises


exercises.jpg

Module 2.2

Different methods produce different results


Module 2.3

Sampling distributions


Module 4.4

Randomizing in Excel

Randomizing in Stata


Module 6.3

Sampling distributions (refresher from Module 2.3)


Module 6.4

Estimating Sample Size in Stata

Estimating Sample Size in Optimal Design 


Module 8.1

A Step by Step Analysis


  • Running Randomized Evaluations/
    • Home
    • About the Book
    • About the Authors
    • Reviews
    • News + Events
    • Contact
  • Course Details/
    • Course Details
  • Chapters/
    • 1: Introduction
    • 2: Why Randomize?
    • 3: What Questions?
    • 4: Randomizing
    • 5: Outcomes
    • 6: Statistical Power
    • 7: Threats
    • 8: Analysis
    • 9: Policy Lessons
  • Resources/
    • Case Studies
    • Exercises
    • Lecture Notes
    • Data
  • Blog/
  • Buy the Book/
    • Amazon
    • Barnes & Noble
    • Google play
    • Princeton University Press

Running Randomized Evaluations: A Practical Guide

This book provides a comprehensive yet accessible guide to running randomized impact evaluations of social programs. Drawing on the experience of researchers at the J-PAL, which has run hundreds of such evaluations in dozens of countries throughout the world, it offers practical insights on how to use this powerful technique, especially in resource-poor environments.

Faculty Website: https://rglennerster.ssd.uchicago.edu/