05690oam 22007335 450 991078097210332120230411120411.01-282-45074-397866124507470-8213-8029-X10.1596/978-0-8213-8028-4(CKB)2520000000008046(EBL)476187(OCoLC)536293912(SSID)ssj0000087263(PQKBManifestationID)11980776(PQKBTitleCode)TC0000087263(PQKBWorkID)10052874(PQKB)11465206(MiAaPQ)EBC476187(Au-PeEL)EBL476187(CaPaEBR)ebr10369843(CaONFJC)MIL245074(The World Bank)ocn367418768(US-djbf)15754583(EXLCZ)99252000000000804620090529d2010 uf 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierHandbook on impact evaluation : quantitative methods and practices /Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. SamadWashington, D.C. :World Bank,c2010.xx, 239 pages illustrations ;26 cmDescription based upon print version of record.0-8213-8028-1 Includes bibliographical references and index.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 PeruBox 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 AttritionBox 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 BiasBox 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 BangladeshBox 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 ExperimentFigure 7.4 Multiple Cutoff PointsPublic 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 qWorld Bank e-Library.Economic development projectsEvaluationEconomic assistanceEvaluationEconomic development projectsEvaluation.Economic assistanceEvaluation.338.90072Khandker Shahidur R877451Koolwal Gayatri B1562888Samad Hussain A.1963-1503555DLCDLCBTCTAUKMC#PDLCBOOK9910780972103321Handbook on impact evaluation3830894UNINA