Format:
1 online resource (244 pages)
ISBN:
9780821380291
,
9780821380284
Content:
Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book. Has the Grameen Bank, for example, succeeded in lowering consumption poverty among the rural poor in Bangladesh? Can conditional cash transfer programs in Mexico and Latin America improve health and schooling outcomes for poor women and children? Does a new road actually raise welfare in a remote area in Tanzania, or is it a "highway to nowhere?" This book reviews quantitative methods and models of impact evaluation. It begings by reviewing the basic issues pertaining to an evaluation of an intervention to reach certain targets and goals. It then focuses on the experimental design of an impact evaluation, highlighting its strengths and shortcomings, followed by discussions on various non-experimental methods. The authors also cover methods to shed light on the nature and mechanisms by which different participants are benefiting from the program.For researchers interested in learning how to use these models with statistical software, the book also provides STATA exercises in the context of evaluating major microcredit programs in Bangladesh, such as the Grameen Bank. The framework presented in this book can be very useful for strengthening local capacity in impact evaluation among technicians and policymakers in charge of formulating, implementing, and evaluating programs to alleviate poverty and underdevelopment.
Content:
Cover -- Half Title -- Title -- Copyright -- Contents -- Foreword -- Preface -- About the Authors -- Abbreviations -- Part 1 Methods and Practices -- 1. Introduction -- References -- 2. Basic Issues of Evaluation -- Summary -- Learning Objectives -- Introduction: Monitoring versus Evaluation -- Monitoring -- Setting Up Indicators within an M&E Framework -- Operational Evaluation -- Quantitative versus Qualitative Impact Assessments -- Quantitative Impact Assessment: Ex Post versus Ex Ante Impact Evaluations -- The Problem of the Counterfactual -- Basic Theory of Impact Evaluation: The Problem of Selection Bias -- Different Evaluation Approaches to Ex Post Impact Evaluation -- Overview: Designing and Implementing Impact Evaluations -- Questions -- References -- 3. Randomization -- Summary -- Learning Objectives -- Setting the Counterfactual -- Statistical Design of Randomization -- Calculating Treatment Effects -- Randomization in Evaluation Design: Different Methods of Randomization -- Concerns with Randomization -- Randomized Impact Evaluation in Practice -- Difficulties with Randomization -- Questions -- Notes -- References -- 4. Propensity Score Matching -- Summary -- Learning Objectives -- PSM and Its Practical Uses -- What Does PSM Do? -- PSM Method in Theory -- Application of the PSM Method -- Critiquing the PSM Method -- PSM and Regression-Based Methods -- Questions -- Notes -- References -- 5. Double Difference -- Summary -- Learning Objectives -- Addressing Selection Bias from a Different Perspective: Using Differences as Counterfactual -- DD Method: Theory and Application -- Advantages and Disadvantages of Using DD -- Alternative DD Models -- Questions -- Notes -- References -- 6. Instrumental Variable Estimation -- Summary -- Learning Objectives -- Introduction -- Two-Stage Least Squares Approach to IVs -- Concerns with IVs.
Note:
Description based on publisher supplied metadata and other sources
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Contents; Foreword; Preface; About the Authors; Abbreviations; Part 1 Methods and Practices; Figure 2.1 Monitoring and Evaluation Framework; Box 2.1 Case Study: PROGRESA (Oportunidades) in Mexico; Box 2.2 Case Study: Assessing the Social Impact of Rural Energy Services in Nepal; Figure 2.A Levels of Information Collection and Aggregation; Figure 2.B Building up of Key Performance Indicators: Project Stage Details; Box 2.3 Case Study: The Indonesian Kecamatan Development Project; Box 2.4 Case Study: Monitoring the Nutritional Objectives of the FONCODES Project in Peru
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Box 2.5 Case Study: Mixed Methods in Quantitative and Qualitative ApproachesBox 2.6 Case Study: An Example of an Ex Ante Evaluation; Figure 2.2 Evaluation Using a With-and-Without Comparison; Figure 2.3 Evaluation Using a Before-and-After Comparison; Figure 3.1 The Ideal Experiment with an Equivalent Control Group; Box 3.1 Case Study: PROGRESA (Oportunidades); Box 3.2 Case Study: Using Lotteries to Measure Intent-to-Treat Impact; Box 3.3 Case Study: Instrumenting in the Case of Partial Compliance; Box 3.4 Case Study: Minimizing Statistical Bias Resulting from Selective Attrition
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Box 3.5 Case Study: Selecting the Level of Randomization to Account for SpilloversBox 3.6 Case Study: Measuring Impact Heterogeneity from a Randomized Program; Box 3.7 Case Study: Effects of Conducting a Baseline; Box 3.8 Case Study: Persistence of Unobserved Heterogeneity in a Randomized Program; Figure 4.1 Example of Common Support; Figure 4.2 Example of Poor Balancing and Weak Common Support; Box 4.1 Case Study: Steps in Creating a Matched Sample of Nonparticipants to Evaluate a Farmer-Field-School Program; Box 4.2 Case Study: Use of PSM and Testing for Selection Bias
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Box 4.3 Case Study: Using Weighted Least Squares Regression in a Study of the Southwest China Poverty Reduction ProjectFigure 5.1 An Example of DD; Box 5.1 Case Study: DD with Panel Data and Repeated Cross-Sections; Figure 5.2 Time-Varying Unobserved Heterogeneity; Box 5.2 Case Study: Accounting for Initial Conditions with a DD Estimator-Applications for Survey Data of Varying Lengths; Box 5.3 Case Study: PSM with DD; Box 5.4 Case Study: Triple-Difference Method-Trabajar Program in Argentina; Box 6.1 Case Study: Using Geography of Program Placement as an Instrument in Bangladesh
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Box 6.2 Case Study: Different Approaches and IVs in Examining the Effects of Child Health on Schooling in GhanaBox 6.3 Case Study: A Cross-Section and Panel Data Analysis Using Eligibility Rules for Microfinance Participation in Bangladesh; Box 6.4 Case Study: Using Policy Design as Instruments to Study Private Schooling in Pakistan; Figure 7.1 Outcomes before Program Intervention; Figure 7.2 Outcomes after Program Intervention; Box 7.1 Case Study: Exploiting Eligibility Rules in Discontinuity Design in South Africa; Figure 7.3 Using a Tie-Breaking Experiment
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Figure 7.4 Multiple Cutoff Points
Additional Edition:
ISBN 9780821380284
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780821380284
Language:
English
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