Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/21122
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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 matchone control to several treated units or, alternatively, discard many treated persons. The firststrategy tends to increase standard errors of the estimated treatment effects while the secondmight produce a matched sample that is not anymore representative of the original one. As analternative approach, this paper argues to carefully reconsider the selection equation upon whichthe propensity score estimates are based. Often, all available variables that rule the selectionprocess are included into the selection equation. Yet, it would suffice to concentrate on onlythose exhibiting a large impact on the outcome under scrutiny, as well. This would introducemore stochastic noise making treatment and comparison group more similar. We assess theadvantages and disadvantages of the latter approach in a simulation study.en_US
dc.language.isoengen_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen_US
dc.relation.ispartofseries|aIZA Discussion paper series |x271en_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.ppn843638524en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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