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dc.contributor.authorAugurzky, Borisen_US
dc.contributor.authorSchmidt, Christoph M.en_US
dc.date.accessioned2009-01-28T16:19:38Z-
dc.date.available2009-01-28T16:19:38Z-
dc.date.issued2001en_US
dc.identifier.urihttp://hdl.handle.net/10419/21122-
dc.description.abstractPropensity score matching is a prominent strategy to reduce imbalance in observational studies. However, if imbalance is considerable and the control reservoir is small, either one has to match one control to several treated units or, alternatively, discard many treated persons. The first strategy tends to increase standard errors of the estimated treatment effects while the second might produce a matched sample that is not anymore representative of the original one. As an alternative approach, this paper argues to carefully reconsider the selection equation upon which the propensity score estimates are based. Often, all available variables that rule the selection process are included into the selection equation. Yet, it would suffice to concentrate on only those exhibiting a large impact on the outcome under scrutiny, as well. This would introduce more stochastic noise making treatment and comparison group more similar. We assess the advantages and disadvantages of the latter approach in a simulation study.en_US
dc.language.isoengen_US
dc.publisheren_US
dc.relation.ispartofseriesIZA Discussion paper series 271en_US
dc.subject.jelC14en_US
dc.subject.jelC15en_US
dc.subject.ddc330en_US
dc.subject.keywordEstimation of the propensity scoreen_US
dc.subject.keywordbalance of relevant covariatesen_US
dc.subject.keywordsimulation studyen_US
dc.subject.stwStichprobenverfahrenen_US
dc.subject.stwMikroökonometrieen_US
dc.subject.stwTheorieen_US
dc.titleThe Propensity Score: A Means to An Enden_US
dc.typeWorking Paperen_US
dc.identifier.ppn332361136en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

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