Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/21121
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dc.contributor.authorAugurzky, Borisen_US
dc.contributor.authorSchmidt, Christoph M.en_US
dc.date.accessioned2009-01-28T16:19:37Z-
dc.date.available2009-01-28T16:19:37Z-
dc.date.issued2001en_US
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_US
dc.language.isoengen_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen_US
dc.relation.ispartofseries|aIZA Discussion paper series |x270en_US
dc.subject.jelH43en_US
dc.subject.jelC15en_US
dc.subject.ddc330en_US
dc.subject.keywordGrouped dataen_US
dc.subject.keywordobservational studyen_US
dc.subject.keywordrandomized experimenten_US
dc.subject.keywordsimulation studyen_US
dc.subject.stwWirtschaftspolitische Wirkungsanalyseen_US
dc.subject.stwMikroökonometrieen_US
dc.subject.stwStichprobenverfahrenen_US
dc.subject.stwKommunale Wirtschaftspolitiken_US
dc.subject.stwMonte-Carlo-Methodeen_US
dc.subject.stwTheorieen_US
dc.subject.stwself selectionen_US
dc.titleThe Evaluation of Community-Based Interventions: A Monte Carlo Studyen_US
dc.typeWorking Paperen_US
dc.identifier.ppn843635983en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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