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dc.contributor.authorKitagawa, Toruen_US
dc.date.accessioned2012-10-16T13:15:18Z-
dc.date.available2012-10-16T13:15:18Z-
dc.date.issued2009en_US
dc.identifier.pidoi:10.1920/wp.cem.2009.3009en_US
dc.identifier.urihttp://hdl.handle.net/10419/64677-
dc.description.abstractThis paper examines identification power of the instrument exogeneity assumption in the treatment effect model. We derive the identification region: The set of potential outcome distributions that are compatible with data and the model restriction. The model restrictions whose identifying power is investigated are (i) instrument independence of each of the potential outcome (marginal independence), (ii) instrument joint independence of the potential outcomes and the selection heterogeneity, and (iii) instrument monotonicity in addition to (ii) (the LATE restriction of Imbens and Angrist (1994)), where these restrictions become stronger in the order of listing. By comparing the size of the identification region under each restriction, we show that the joint independence restriction can provide further identifying information for the potential outcome distributions than marginal independence, but the LATE restriction never does since it solely constrains the distribution of data. We also derive the tightest possible bounds for the average treatment effects under each restriction. Our analysis covers both the discrete and continuous outcome case, and extends the treatment effect bounds of Balke and Pearl (1997) that are available only for the binary outcome case to a wider range of settings including the continuous outcome case.en_US
dc.language.isoengen_US
dc.publisherCentre for Microdata Methods and Practice Londonen_US
dc.relation.ispartofseriescemmap working paper CWP30/09en_US
dc.subject.jelC14en_US
dc.subject.jelC21en_US
dc.subject.ddc330en_US
dc.subject.keywordPartial Identificationen_US
dc.subject.keywordProgram Evaluationen_US
dc.subject.keywordTreatment Effectsen_US
dc.subject.keywordInstrumental Variablesen_US
dc.subject.stwNichtparametrisches Verfahrenen_US
dc.subject.stwSchätztheorieen_US
dc.subject.stwInstrumentalvariablen-Schätzmethodeen_US
dc.subject.stwTheorieen_US
dc.titleIdentification region of the potential outcome distributions under instrument independenceen_US
dc.typeWorking Paperen_US
dc.identifier.ppn613185943en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:cemmap working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (IFS)

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