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Jean-Michel Josselin Benoît Le Maux Statistical Tools for Program Evaluation Methods and Applications to Economic Policy, Public Health, and Education Statistical Tools for Program Evaluation Jean-Michel Josselin (cid:129) Benoˆıt Le Maux Statistical Tools for Program Evaluation Methods and Applications to Economic Policy, Public Health, and Education Jean-MichelJosselin BenoˆıtLeMaux FacultyofEconomics FacultyofEconomics UniversityofRennes1 UniversityofRennes1 Rennes,France Rennes,France ISBN978-3-319-52826-7 ISBN978-3-319-52827-4 (eBook) DOI10.1007/978-3-319-52827-4 LibraryofCongressControlNumber:2017940041 #SpringerInternationalPublishingAG2017 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilarmethodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexempt fromtherelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthis book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained hereinor for anyerrors oromissionsthat may havebeenmade. Thepublisher remainsneutralwith regardtojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. Printedonacid-freepaper ThisSpringerimprintispublishedbySpringerNature TheregisteredcompanyisSpringerInternationalPublishingAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Acknowledgments We would like to express our gratitude to those who helped us and made the completionofthisbookpossible. Firstofall,wearedeeplyindebtedtotheSpringereditorialteamandparticularly Martina BIHN whose support and encouragement allowed us to finalize this project. Furthermore, we have benefited from helpful comments by colleagues and we wouldliketoacknowledgethehelpofMauriceBASLE´,ArthurCHARPENTIER, Pauline CHAUVIN, Salah GHABRI, and Christophe TAVE´RA. Of course, any mistakethatmayremainisourentireresponsibility. In addition, we are grateful to our students who have been testing and experimenting our lectures for so many years. Parts of the material provided here havebeentaughtattheBachelorandMasterlevels,inFranceandabroad.Several students and former students have been helping us improve the book. We really appreciated their efforts and are very grateful to them: Erwan AUTIN, Benoˆıt CARRE´,AudeDAILLE`RE,Kristy´naDOSTA´LOVA´,andAdrienVEZIE. Finally, we would like to express our sincere gratefulness to our families for theircontinuoussupportandencouragement. v Contents 1 StatisticalToolsforProgramEvaluation:Introductionand Overview.. . . . . . .. . . . . . .. . . . . . .. . . . . . . .. . . . . . .. . . . . . .. 1 1.1 TheChallengeofProgramEvaluation. . . . . . . . . . . . . . . . . . . 1 1.2 IdentifyingtheContextoftheProgram. . . . . . . . . . . . . . . . . . 4 1.3 ExanteEvaluationMethods. . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4 ExpostEvaluation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.5 HowtoUsetheBook?. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Bibliography. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 PartI IdentifyingtheContextoftheProgram 2 SamplingandConstructionofVariables. . . .. . . . . . . .. . . . . . . .. 15 2.1 AStepNottoBeTakenLightly. . . . . . . . . . . . . . . . . . . . . . . 15 2.2 ChoiceofSample. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.3 ConceptionoftheQuestionnaire. . . . . . . . . . . . . . . . . . . . . . . 22 2.4 DataCollection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 2.5 CodingofVariables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Bibliography. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 3 DescriptiveStatisticsandIntervalEstimation. . . . . . . . . . . . . . . . . 45 3.1 TypesofVariablesandMethods. . . . . . . . . . . . . . . . . . . . . . . 45 3.2 TabularDisplays. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 3.3 GraphicalRepresentations. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 3.4 MeasuresofCentralTendencyandVariability. . . . . . . . . . . . . 64 3.5 DescribingtheShapeofDistributions. . . . . . . . . . . . . . . . . . . 69 3.6 ComputingConfidenceIntervals. . . . . . . . . . . . . . . . . . . . . . . 77 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 4 MeasuringandVisualizingAssociations. . . . . . . . . . . . . . . . . . . . . 89 4.1 IdentifyingRelationshipsBetweenVariables. . . . . . . . . . . . . . 89 4.2 TestingforCorrelation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 4.3 Chi-SquareTestofIndependence. . . . . . . . . . . . . . . . . . . . . . 99 vii viii Contents 4.4 TestsofDifferenceBetweenMeans. . . . . . . . . . . . . . . . . . . . . 105 4.5 PrincipalComponentAnalysis. . . . . . . . . . . . . .. . . . . . . . . . . 113 4.6 MultipleCorrespondenceAnalysis. . . . . .. . . . . . .. . . . . . . .. 126 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 5 EconometricAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 5.1 UnderstandingtheBasicRegressionModel. . . . . . . . . . . . . . . 137 5.2 MultipleRegressionAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . 147 5.3 AssumptionsUnderlyingtheMethodofOLS. . . . . . . . . . . . . . 153 5.4 ChoiceofRelevantVariables. . . . . . . . . . . . . . . . . . . . . . . . . 156 5.5 FunctionalFormsofRegressionModels. . . . . . . . . . . . . . . . . 164 5.6 DetectionandCorrectionofEstimationBiases. . . . . . . . . . . . . 167 5.7 ModelSelectionandAnalysisofRegressionResults. . . . . . . . 174 5.8 ModelsforBinaryOutcomes. . . . . . . . . . . . . . . . . . . . . . . . . . 180 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 6 EstimationofWelfareChanges. . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 6.1 ValuingtheConsequencesofaProject. . . . . . . . . . . . . . . . . . 189 6.2 ContingentValuation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 6.3 DiscreteChoiceExperiment. . . . . . . . . . . . . . . . . . . . . . . . . . 200 6.4 HedonicPricing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 6.5 TravelCostMethod. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216 6.6 Health-RelatedQualityofLife. . . . . . . . . . . . . . . . . . . . . . . . 221 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 PartII ExanteEvaluation 7 FinancialAppraisal. . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . .. . 235 7.1 MethodologyofFinancialAppraisal. . . . . . . . . . . . . . . . . . . . 235 7.2 TimeValueofMoney. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238 7.3 CashFlowsandSustainability. . . . . . . . . . . . . . . . . . . . . . . . . 244 7.4 ProfitabilityAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249 7.5 RealVersusNominalValues. . . . . . . . . . . . . . . . . . . . . . . . . . 255 7.6 RankingInvestmentStrategies.. . . . . . . . . . .. . . . . . . . . . .. . 257 7.7 SensitivityAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266 8 BudgetImpactAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 8.1 IntroducingaNewInterventionAmongstExistingOnes. . . . . . 269 8.2 AnalyticalFramework. . . . .. . . . . .. . . . . .. . . . . . .. . . . . .. 271 8.3 BudgetImpactinaMultiple-SupplySetting. . . . . . . . . . . . . . . 275 8.4 Example. . . . . . . .. . . . . . . .. . . . . . . .. . . . . . . .. . . . . . . .. 277 8.5 SensitivityAnalysiswithVisualBasic. . . . . . . . . . . . . . . . . . . 281 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288 Contents ix 9 CostBenefitAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291 9.1 RationaleforCostBenefitAnalysis. . . . . . . . . . . . . . . . . . . . . 291 9.2 ConceptualFoundations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294 9.3 DiscountofBenefitsandCosts. . . . . . . . . . . . . . . . . . . . . . . . 299 9.4 AccountingforMarketDistortions. . .. . . . . . . . .. . . . . . . . .. 306 9.5 DeterministicSensitivityAnalysis. . . . . . . . . . . . . . . . . . . . . . 311 9.6 ProbabilisticSensitivityAnalysis. . . . . . . . . . . . . . . . . . . . . . . 313 9.7 Mean-VarianceAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321 Bibliography. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324 10 CostEffectivenessAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 10.1 AppraisalofProjectswithNon-monetaryOutcomes. . . . . . . . . 325 10.2 CostEffectivenessIndicators. . . . . . . . . . . . . . . . . .. . . . . . . . 328 10.3 TheEfficiencyFrontierApproach. . . . . . . . . . . . . . . . . . . . . . 336 10.4 DecisionAnalyticModeling. . . . . . . . . . . . . . . . . . . . . . . . . . 342 10.5 NumericalImplementationinR-CRAN. . . . . . . . . . . . . . . . . . 351 10.6 ExtensiontoQALYs. . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . 357 10.7 UncertaintyandProbabilisticSensitivityAnalysis. . . . . . . . . . 358 10.8 AnalyzingSimulationOutputs. . . . . . . . . . . . . . . . . . . . . . . . . 371 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382 11 Multi-criteriaDecisionAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . 385 11.1 KeyConceptsandSteps. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385 11.2 ProblemStructuring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 11.3 AssessingPerformanceLevelswithScoring. . . . . . . . . . . . . . . 390 11.4 CriteriaWeighting. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395 11.5 ConstructionofaCompositeIndicator. . . . . . . . . . . . . . . . . . . 398 11.6 Non-CompensatoryAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . 401 11.7 ExaminationofResults. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 416 PartIII ExpostEvaluation 12 ProjectFollow-UpbyBenchmarking. . . . . . . . . . . . . . . . . . . . . . . 419 12.1 CostComparisonstoaReference. . . . . . . . . . . . . . . . . . . . . . 419 12.2 CostAccountingFramework. . . . . . . . . . . . . . . . . . . . . . . . . . 423 12.3 EffectsofDemandStructureandProductionStructure onCost. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426 12.4 ProductionStructureEffect:Service-OrientedApproach. . . . . . 433 12.5 ProductionStructureEffect:Input-OrientedApproach. . . . . . . 436 12.6 RankingThroughBenchmarking. . . . . . . . . . . . . . . . . . . . . . . 440 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 x Contents 13 RandomizedControlledExperiments. . . . . . . . . . . . . . . . . . . . . . . 443 13.1 FromClinicalTrialstoFieldExperiments. . . . . . . . . . . . . . . . 443 13.2 RandomAllocationofSubjects. . . . . . . . . . . . . . . . . . . . . . . . 448 13.3 StatisticalSignificanceofaTreatmentEffect. . . . . . . . . . . . . . 453 13.4 ClinicalSignificanceandStatisticalPower. . . . . . . . . . . . . . . . 463 13.5 SampleSizeCalculations. . . . . . . . . . . . . . . . . . . . . . . . . . . . 471 13.6 IndicatorsofPolicyEffects. . . . . . . . . . . . . . . . . . . . . . . . . . . 474 13.7 SurvivalAnalysiswithCensoring:TheKaplan-Meier Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480 13.8 Mantel-HaenszelTestforConditionalIndependence. .. . . . . .. 483 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487 14 Quasi-experiments. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489 14.1 TheRationaleforCounterfactualAnalysis. . . . . . . . . . . . . . . . 489 14.2 Difference-in-Differences. . . . . . . . . . . . . . . . . . . . . . . . . . . . 492 14.3 PropensityScoreMatching. . . . . . . . . . . . . . . . . . . . . . . . . . . 498 14.4 RegressionDiscontinuityDesign. . . . . . . . . . . . . . . . . . . . . . . 512 14.5 InstrumentalVariableEstimation. . . . . . . . . . . . . . . . . . . . . . . 519 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 530 1 Statistical Tools for Program Evaluation: Introduction and Overview 1.1 The Challenge of Program Evaluation Thepast30yearshaveseenaconvergenceofmanagementmethodsandpractices betweenthepublicsectorandtheprivatesector,notonlyatthecentralgovernment level (in particular in Western countries) but also at upper levels (European commission, OECD, IMF, World Bank) and local levels (municipalities, cantons, regions). This “new public management” intends to rationalize public spending, boosttheperformanceofservices,getclosertocitizens’expectations,andcontain deficits.Akeyfeatureofthisevolutionisthatprogramevaluationisnowadayspart ofthepolicy-makingprocessor,atleast,onitswayofbecominganimportantstep in the design of public policies. Public programs must show evidence of their relevance, financial sustainability and operationality. Although not yet systemati- callyenacted,programevaluationintendstograsptheimpactofpublicprojectson citizens,ascomprehensivelyaspossible,fromeconomictosocialandenvironmen- talconsequencesonindividualandcollectivewelfare.Ascanbededuced,thetask is highly challenging as it is not so easy to put a value on items such as welfare, health, education or changes in environment. The task is all the more demanding that a significant level of expertise is required for measuring those impacts or for comparingdifferentpolicyoptions. Thepresentchapteroffersanintroductiontothemainconceptsthatwillbeused throughout the book. First, we shall start with defining the concept of program evaluationitself.Althoughthereisnoconsensusinthisrespect,wemayrefertothe OECDglossarywhichstatesthatevaluationisthe“processwherebytheactivities undertaken by ministries and agencies are assessed against a set of objectives or criteria.” According to Michael Quinn Patton, former President of the American EvaluationAssociation,programevaluationcanalsobedefinedas“thesystematic collection of information about the activities, characteristics, and outcomes of programs, for use by people to reduce uncertainties, improve effectiveness, and makedecisions.”Wemayalsoproposeourowndefinitionoftheconcept:program evaluationisaprocessthatconsistsincollecting,analyzing,andusinginformation #SpringerInternationalPublishingAG2017 1 J.-M.Josselin,B.LeMaux,StatisticalToolsforProgramEvaluation, DOI10.1007/978-3-319-52827-4_1

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