LEADER 05472nam 2200661Ia 450 001 9910456570503321 005 20200520144314.0 010 $a1-282-45074-3 010 $a9786612450747 010 $a0-8213-8029-X 035 $a(CKB)2520000000008046 035 $a(EBL)476187 035 $a(OCoLC)536293912 035 $a(SSID)ssj0000087263 035 $a(PQKBManifestationID)11980776 035 $a(PQKBTitleCode)TC0000087263 035 $a(PQKBWorkID)10052874 035 $a(PQKB)11465206 035 $a(MiAaPQ)EBC476187 035 $a(Au-PeEL)EBL476187 035 $a(CaPaEBR)ebr10369843 035 $a(CaONFJC)MIL245074 035 $a(EXLCZ)992520000000008046 100 $a20090529d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHandbook on impact evaluation$b[electronic resource] $equantitative methods and practices /$fShahidur R. Khandker, Gayatri B. Koolwal, Hussain Samad 210 $aWashington, DC $cWorld Bank$d2010 215 $a1 online resource (262 p.) 300 $aDescription based upon print version of record. 311 $a0-8213-8028-1 320 $aIncludes bibliographical references and index. 327 $aContents; 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 327 $aBox 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 327 $aBox 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 327 $aBox 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 327 $aBox 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 327 $aFigure 7.4 Multiple Cutoff Points 330 $aPublic 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 q 606 $aEconomic development projects$xEvaluation 606 $aEconomic assistance$xEvaluation 608 $aElectronic books. 615 0$aEconomic development projects$xEvaluation. 615 0$aEconomic assistance$xEvaluation. 676 $a338.9 700 $aKhandker$b Shahidur R$0877451 701 $aKoolwal$b Gayatri B$0877452 701 $aSamad$b Hussain A.$f1963-$0877453 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456570503321 996 $aHandbook on impact evaluation$91959388 997 $aUNINA