Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/21122 
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dc.contributor.authorAugurzky, Borisen
dc.contributor.authorSchmidt, Christoph M.en
dc.date.accessioned2009-01-28T16:19:38Z-
dc.date.available2009-01-28T16:19:38Z-
dc.date.issued2001-
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
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x271en
dc.subject.jelC14en
dc.subject.jelC15en
dc.subject.ddc330en
dc.subject.keywordEstimation of the propensity scoreen
dc.subject.keywordbalance of relevant covariatesen
dc.subject.keywordsimulation studyen
dc.subject.stwStichprobenverfahrenen
dc.subject.stwMikroökonometrieen
dc.subject.stwTheorieen
dc.titleThe Propensity Score: A Means to An End-
dc.typeWorking Paperen
dc.identifier.ppn843638524en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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