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010   $a9786612843976
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035   $a(IMF)WPIEE2009187
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100   $a20020129d2009      uf             0
101 0 $aeng
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181   $ctxt
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200 10$aHow Good Are Ex Ante Program Evaluation Techniques? The Case of School Enrollment in PROGRESA /$fFabian Bornhorst
210  1$aWashington, D.C. :$cInternational Monetary Fund,$d2009.
215   $a35 p. $cill
225 1 $aIMF Working Papers
300   $a"September 2009."
311   $a1-4519-1759-7 
330 3 $aThis paper evaluates a microsimulation technique by comparing the simulated outcome of a program with its actual effect. The ex ante evaluation is carried out for a conditional cash transfer program, where poor households were given money if the children attended school. A model of occupational choice is used to simulate the expected impact of the program. The results suggest that the transfer would indeed increase school attendance and do more so among girls than boys. While the simulated effect tends to be larger than the actual effect, the latter lies within bootstrapped confidence intervals of the simulation.
410  0$aIMF Working Papers; Working Paper ;$vNo. 2009/187
606   $aSchool attendance$zMexico$xEvaluation$xEconometric models
606   $aEconomic assistance, Domestic$zMexico$xEvaluation$xEconometric models
606   $aPoor$zMexico$xEvaluation$xEconometric models
606   $aLabor$2imf
606   $aMacroeconomics$2imf
606   $aDemography$2imf
606   $aEducation: General$2imf
606   $aWages, Compensation, and Labor Costs: General$2imf
606   $aLabor Economics: General$2imf
606   $aAggregate Factor Income Distribution$2imf
606   $aEconomics of the Elderly$2imf
606   $aEconomics of the Handicapped$2imf
606   $aNon-labor Market Discrimination$2imf
606   $aEducation$2imf
606   $aLabour$2imf
606   $aincome economics$2imf
606   $aPopulation & demography$2imf
606   $aWages$2imf
606   $aIncome$2imf
606   $aAging$2imf
606   $aLabor economics$2imf
606   $aPopulation aging$2imf
607   $aMexico$2imf
615  0$aSchool attendance$xEvaluation$xEconometric models.
615  0$aEconomic assistance, Domestic$xEvaluation$xEconometric models.
615  0$aPoor$xEvaluation$xEconometric models.
615  7$aLabor
615  7$aMacroeconomics
615  7$aDemography
615  7$aEducation: General
615  7$aWages, Compensation, and Labor Costs: General
615  7$aLabor Economics: General
615  7$aAggregate Factor Income Distribution
615  7$aEconomics of the Elderly
615  7$aEconomics of the Handicapped
615  7$aNon-labor Market Discrimination
615  7$aEducation
615  7$aLabour
615  7$aincome economics
615  7$aPopulation & demography
615  7$aWages
615  7$aIncome
615  7$aAging
615  7$aLabor economics
615  7$aPopulation aging
700   $aBornhorst$b Fabian$01485173
712 02$aInternational Monetary Fund.$bFiscal Affairs Dept.
801  0$bDcWaIMF
906   $aBOOK
912   $a9910788228003321
996   $aHow Good Are Ex Ante Program Evaluation Techniques? The Case of School Enrollment in PROGRESA$93741584
997   $aUNINA