Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/21121 
Kompletter Metadatensatz
DublinCore-FeldWertSprache
dc.contributor.authorAugurzky, Borisen
dc.contributor.authorSchmidt, Christoph M.en
dc.date.accessioned2009-01-28T16:19:37Z-
dc.date.available2009-01-28T16:19:37Z-
dc.date.issued2001-
dc.identifier.urihttp://hdl.handle.net/10419/21121-
dc.description.abstractThe evaluation of interventions such as active labor market policies or medical programs bymeans of a randomized controlled trial is often considered the gold standard. However,randomized experiments might face severe shortcomings especially if performed at the grouplevel. One such problem is caused by small sample size which might prevent the experimentfrom developing its fundamental virtue in balancing all relevant covariates. This paperinvestigates the potential and limits of experimental and non-experimental approaches to theevaluation problem, in particular the use of instrumental variables, in a numerical simulationstudy, against the particular background of community-based interventions. In our simulations,we emphasize the trade-off between bias and precision by imposing a smaller number ofcommunities whenever we model a randomized experiment, and by allowing for acorrespondingly larger number of communities in all cases where selection into the program isnot controlled completely by the analyst.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x270en
dc.subject.jelH43en
dc.subject.jelC15en
dc.subject.ddc330en
dc.subject.keywordGrouped dataen
dc.subject.keywordobservational studyen
dc.subject.keywordrandomized experimenten
dc.subject.keywordsimulation studyen
dc.subject.stwWirtschaftspolitische Wirkungsanalyseen
dc.subject.stwMikroökonometrieen
dc.subject.stwStichprobenverfahrenen
dc.subject.stwKommunale Wirtschaftspolitiken
dc.subject.stwMonte-Carlo-Methodeen
dc.subject.stwTheorieen
dc.subject.stwself selectionen
dc.titleThe Evaluation of Community-Based Interventions: A Monte Carlo Study-
dc.typeWorking Paperen
dc.identifier.ppn843635983en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

Datei(en):
Datei
Größe
362.39 kB





Publikationen in EconStor sind urheberrechtlich geschützt.