Impact Evaluation of Development Interventions : A Practical Guide.

Cover -- Title -- Copyright -- Contents -- Tables, Figures, and Boxes -- Foreword -- Acknowledgments -- Abbreviations -- 1. Introduction: Impact Evaluation for Evidence-Based Development -- 1.1 Why Does Impact Evaluation Matter? -- 1.2 The Purposes of Impact Evaluation -- 1.3 What Questions Can Impact Evaluation Answer? -- 1.4 Impact Evaluation in the Project Cycle -- 1.5 Impact Evaluation, Evaluation, and Economic Analysis -- 1.6 About This Book -- 2. Using Theories of Change to Identify Impact Evaluation Questions -- 2.1 Introduction -- 2.2 What Is a Theory of Change? -- 2.3 Issues Raised by the Theory of Change -- 2.4 Constructing the Theory of Change -- 2.5 Applying the Theory of Change -- 3. The Core Concepts of Impact Evaluation -- 3.1 What Is Impact Evaluation? -- 3.2 Identifying Control and Comparison Groups -- 3.3 Biases and Challenges for Causal Inference -- 3.4 Time Dimension of Impacts -- 3.5 Unit of Assignment, Treatment, and Analysis -- 3.6 Different Impact Measures - Impacts for Whom? -- 3.7 Internal and External Validity -- 4. Randomized Controlled Trials -- 4.1 Introduction -- 4.2 Why Randomize? -- 4.3 Types of Randomized Controlled Trial Designs -- 4.4 Steps in Implementing a Randomized Controlled Trial -- 4.5 Reporting Randomized Controlled Trials -- 4.6 Working with Randomized Controlled Trials in Practice -- 4.7 Summary -- 5. Nonexperimental Designs -- 5.1 Introduction -- 5.2 Difference-in-Differences Estimates -- 5.3 Synthetic Controls -- 5.4 Propensity Score Matching -- 5.5 Propensity Score Weighting and Double Robust Techniques -- 5.6 Regression Discontinuity Design and Interrupted Time Series -- 5.7 Instrumental Variables -- 5.8 Endogenous Treatment and Control Function Approaches -- 5.9 Endogenous Switching Regressions -- 5.10 Summary -- 6. What and How to Measure: Data Collection for Impact Evaluation.

6.1 The Importance of High-Quality Data -- 6.2 Determining What Data Are Needed -- 6.3 Data Sources -- 6.4 Designing a Survey -- 6.5 Sampling -- 6.6 Managing Data Collection -- 7. Sample Size Determination for Data Collection -- 7.1 Power Calculations: An Introduction -- 7.2 What Is Power? -- 7.3 Power Calculations for Simple Study Designs -- 7.4 Power Calculations for Cluster Designs -- 7.5 The Danger of Uwnderpowered Studies -- 7.6 Aids for Considering and Performing Power Calculations -- 8. Managing the Impact Evaluation Process -- 8.1 Introduction to Managing Impact Evaluations -- 8.2 Planning Impact Evaluations -- 8.3 Selecting an Impact Evaluation Design -- 8.4 Timing and Budgeting for Impact Evaluation -- 8.5 Where Help for Impact Evaluation Can Be Obtained -- 8.6 Interpreting and Presenting Impact Evaluation Findings -- 8.7 Conclusions: Twoard Evidence-Based Directions for Development -- Appendix 1. Application of Estimation Methods for Impact Evaluation -- Section 1: The Potential Outcomes Framework -- Section 2: Randomized Controlled Trials -- Section 3: Difference-in-Differences and Fixed Effects Models -- Section 4: Synthetic Controls -- Section 5: Propensity Score Based Approaches (Matching, Weighting, and Double Robust Estimators) -- Section 6: Instrumental Variables Based Approaches (Two-Stage Least Squares, Endogenous Treatment Regressions, and Endogenous Switching Regressions) -- Section 7: Regression Discontinuity Design -- Appendix 2. Designing Field Surveys -- Section 1: Types of Data Needed for Impact Evaluations -- Section 2: Sampling and Representation -- Section 3: Additional Considerations for Sample Size and Power Calculations -- Section 4: Survey Instrument Design -- Section 5: Survey Implementation -- Section 6: Data Management.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.