LEADER 05825oam 22007935 450 001 9910961030003321 005 20240505164017.0 010 $a9786612450747 010 $a9781282450745 010 $a1282450743 010 $a9780821380291 010 $a082138029X 024 7 $a10.1596/978-0-8213-8028-4 035 $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(The World Bank)ocn367418768 035 $a(US-djbf)15754583 035 $a(Perlego)1483797 035 $a(EXLCZ)992520000000008046 100 $a20090529d2010 uf 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook on impact evaluation : $equantitative methods and practices /$fShahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad 205 $a1st ed. 210 1$aWashington, D.C. :$cWorld Bank,$dc2010. 215 $axx, 239 pages $cillustrations ;$d26 cm 300 $aDescription based upon print version of record. 311 08$a9780821380284 311 08$a0821380281 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 $aPublic programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book. Has the Grameen Bank, for example, succeeded in lowering consumption poverty among the rural poor in Bangladesh? Can conditional cash transfer programs in Mexico and Latin America improve health and schooling outcomes for poor women and children? Does a new road actually raise welfare in a remote area in Tanzania, or is it a ""highway to nowhere?"" This book reviews q 410 0$aWorld Bank e-Library. 606 $aEconomic development projects$xEvaluation 606 $aEconomic assistance$xEvaluation 615 0$aEconomic development projects$xEvaluation. 615 0$aEconomic assistance$xEvaluation. 676 $a338.90072 700 $aKhandker$b Shahidur R$0877451 701 $aKoolwal$b Gayatri B$01812080 701 $aSamad$b Hussain A.$f1963-$01812081 801 0$bDLC 801 1$bDLC 801 2$bBTCTA 801 2$bUKM 801 2$bC#P 801 2$bDLC 906 $aBOOK 912 $a9910961030003321 996 $aHandbook on impact evaluation$94364353 997 $aUNINA LEADER 04037oas 2201573 a 450 001 9910333149603321 005 20251105213014.0 011 $a1611-5864 035 $a(DE-599)ZDB2082649-7 035 $a(DE-599)2082649-7 035 $a(OCoLC)54494972 035 $a(CONSER) 2009233335 035 $a(CKB)954925389248 035 $a(EXLCZ)99954925389248 100 $a20040227a19149999 sy a 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aChemie der Erde 210 $a[Jena] $cUrban & Fischer 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 08$a0009-2819 517 1 $aGeochemistry 531 1 $aChem. 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