LEADER 03711nam 22004695 450 001 9910255032203321 005 20211101194119.0 010 $a3-319-52827-0 024 7 $a10.1007/978-3-319-52827-4 035 $a(CKB)3710000001388705 035 $a(DE-He213)978-3-319-52827-4 035 $a(MiAaPQ)EBC4865424 035 $a(PPN)203963008 035 $a(EXLCZ)993710000001388705 100 $a20170524d2017 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical tools for program evaluation $emethods and applications to economic policy, public health, and education /$fJean-Michel Josselin, Benoi?t Le Maux. 210 1$aCham :$cSpringer,$d[2017] 215 $a1 online resource $cillustrations (some color) 311 $a3-319-52826-2 320 $aIncludes bibliographical references. 327 $aStatistical Tools for Program Evaluation: introduction and overview -- Part I: Identifying the context of the program. Description of problems and needs, assessment of relationships among variables -- Sampling and construction of variables -- Descriptive statistics and interval estimation -- Measuring and visualizing associations -- Econometric analysis -- Estimation of welfare changes -- Part II: Ex ante evaluation. Assessment of different policy strategies that might solve the problems -- Financial appraisal -- Budget impact analysis -- Cost benefit analysis -- Cost effectiveness analysis -- Multi-criteria decision analysis -- Part III: Ex post evaluation. Assessment of the effects of a strategy after its implementation -- Follow-up by benchmarking -- Randomized controlled experiments -- Quasi-experiments. 330 $aThis book provides a self-contained presentation of the statistical tools required for evaluating public programs, as advocated by many governments, the World Bank, the European Union, and the Organization for Economic Cooperation and Development. After introducing the methodological framework of program evaluation, the first chapters are devoted to the collection, elementary description and multivariate analysis of data as well as the estimation of welfare changes. The book then successively presents the tools of ex-ante methods (financial analysis, budget planning, cost-benefit, cost-effectiveness and multi-criteria evaluation) and ex-post methods (benchmarking, experimental and quasi-experimental evaluation). The step-by-step approach and the systematic use of numerical illustrations equip readers to handle the statistics of program evaluation. It not only offers practitioners from public administrations, consultancy firms and nongovernmental organizations the basic tools and advanced techniques used in program assessment, it is also suitable for executive management training, upper undergraduate and graduate courses, as well as for self-study. 606 $aEvaluation research (Social action programs)$xStatistical methods 606 $aEconomic policy$xEvaluation$xStatistical methods 606 $aPublic health$xEvaluation$xStatistical methods. 606 $aEducational evaluation$xStatistical methods 615 0$aEvaluation research (Social action programs)$xStatistical methods. 615 0$aEconomic policy$xEvaluation$xStatistical methods. 615 0$aPublic health$xEvaluation$xStatistical methods.. 615 0$aEducational evaluation$xStatistical methods. 676 $a336 700 $aJosselin$b Jean-Michel$0269107 702 $aLe Maux$b Benoît 906 $aBOOK 912 $a9910255032203321 996 $aStatistical tools for program evaluation$92535354 997 $aUNINA