Partial frontier efficiency analysis for Stata

dc.contributor.authorTauchmann, Harald
dc.date.accessioned2011-08-08T07:59:00Z
dc.date.available2011-08-08T07:59:00Z
dc.date.issued2011-08-08
dc.description.abstractDespite its frequent use in applied work, nonparametric approaches to efficiency analysis, namely data envelopment analysis (DEA) and free disposal hull (FDH), have bad reputations among econometricians. This is mainly due to DEA and FDH representing deterministic approaches that are highly sensitive to outliers and measurement errors. However, recently, so-called partial frontier approaches namely order-m and order-alpha have been developed. They generalize FDH by allowing for super-efficient observations to be located beyond the estimated production-possibility frontier. Although these methods are purely nonparametric too, sensitivity to outliers is substantially reduced by partial frontier approaches enveloping just a sub-sample of observations. We introduce the new Stata commands orderm and orderalpha that implement order-m, order-alpha, and FDH efficiency analysis in Stata. The commands allow for several options, such as statistical inference based on sub-sampling bootstrap.en
dc.identifier.urihttp://hdl.handle.net/2003/28963
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-13498
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;25/2011
dc.subjectdecision making uniten
dc.subjectefficiencyen
dc.subjectfree disposal hullen
dc.subjectnon-parametricen
dc.subjectorderalphaen
dc.subjectordermen
dc.subjectoutlier-robusten
dc.subjectpartial frontieren
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titlePartial frontier efficiency analysis for Stataen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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