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dc.contributor.authorFairlie, Robert W.en
dc.date.accessioned2006-05-22-
dc.date.accessioned2010-07-07T09:07:57Z-
dc.date.available2010-07-07T09:07:57Z-
dc.date.issued2006-
dc.identifier.urihttp://hdl.handle.net/10419/33195-
dc.description.abstractThe Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of group differences in measurable characteristics, such as education, experience, marital status, and geographical differences to racial and gender gaps in outcomes. The technique cannot be used directly, however, if the outcome is binary and the coefficients are from a logit or probit model. I describe a relatively simple method of performing a decomposition that uses estimates from a logit or probit model. Expanding on the original application of the technique in Fairlie (1999), I provide a more thorough discussion of how to apply the technique, an analysis of the sensitivity of the decomposition estimates to different parameters, and the calculation of standard errors. I also compare the estimates to Blinder-Oaxaca decomposition estimates and discuss an example of when the Blinder-Oaxaca technique may be problematic.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x1917en
dc.subject.jelC6en
dc.subject.jelJ15en
dc.subject.jelJ16en
dc.subject.ddc330en
dc.subject.keyworddecompositionen
dc.subject.keywordlogiten
dc.subject.keywordprobiten
dc.subject.keywordBlinder-Oaxaca decompositionen
dc.subject.keywordraceen
dc.subject.keywordgenderen
dc.subject.stwDekompositionsverfahrenen
dc.subject.stwComputeren
dc.subject.stwRasseen
dc.subject.stwGeschlechten
dc.subject.stwUSAen
dc.subject.stwLogit-Modellen
dc.subject.stwProbit-Modellen
dc.titleAn extension of the Blinder-Oaxaca decomposition technique to logit and probit models-
dc.type|aWorking Paperen
dc.identifier.ppn506211622en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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