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dc.contributor.authorBehaghel, Lucen
dc.contributor.authorCrépon, Brunoen
dc.contributor.authorGurgand, Marcen
dc.contributor.authorLe Barbanchon, Thomasen
dc.date.accessioned2012-08-15-
dc.date.accessioned2012-09-14T11:07:59Z-
dc.date.available2012-09-14T11:07:59Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/10419/62568-
dc.description.abstractWe propose a novel selectivity correction procedure to deal with survey attrition, at the crossroads of the Heckit and of the bounding approach of Lee (2009). As a substitute for the instrument needed in sample selectivity correction models, we use information on the number of attempts that were made to obtain response to the survey from each individual who responded. We obtain set identification, but if the number of attempts to reach each individual is high enough, we can come closer to point identification. We apply our sample selection correction in the context of a job-search experiment with low and unbalanced response rates.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x6751en
dc.subject.jelC31en
dc.subject.jelC93en
dc.subject.jelJ6en
dc.subject.ddc330en
dc.subject.keywordsurvey non responseen
dc.subject.keywordsample selectivityen
dc.subject.keywordtreatment effect modelen
dc.subject.keywordrandomized controlled trialen
dc.subject.stwMikroökonometrieen
dc.subject.stwStichprobenverfahrenen
dc.subject.stwBefragungen
dc.subject.stwTheorieen
dc.subject.stwArbeitsucheen
dc.subject.stwTesten
dc.titlePlease call again: Correcting non-response bias in treatment effect models-
dc.typeWorking Paperen
dc.identifier.ppn721212344en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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