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dc.contributor.authorHeckman, James Josephen_US
dc.contributor.authorUrzúa, Sergioen_US
dc.contributor.authorVytlacil, Edwarden_US
dc.date.accessioned2008-09-02en_US
dc.date.accessioned2010-07-07T11:34:46Z-
dc.date.available2010-07-07T11:34:46Z-
dc.date.issued2008en_US
dc.identifier.piurn:nbn:de:101:1-2008070206en_US
dc.identifier.urihttp://hdl.handle.net/10419/35200-
dc.description.abstractThis paper develops the method of local instrumental variables for models with multiple, unordered treatments when treatment choice is determined by a nonparametric version of the multinomial choice model. Responses to interventions are permitted to be heterogeneous in a general way and agents are allowed to select a treatment (e.g., participate in a program) with at least partial knowledge of the idiosyncratic response to the treatments. We define treatment effects in a general model with multiple treatments as differences in counterfactual outcomes that would have been observed if the agent faced different choice sets. We show how versions of local instrumental variables can identify the corresponding treatment parameters. Direct application of local instrumental variables identifies the marginal treatment effect of one option versus the next best alternative without requiring knowledge of any structural parameters from the choice equation or any large support assumptions. Using local instrumental variables to identify other treatment parameters requires either large support assumptions or knowledge of the latent index function of the multinomial choice model.en_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesIZA Discussion Papers 3565en_US
dc.subject.jelC31en_US
dc.subject.ddc330en_US
dc.subject.keywordNonparametricen_US
dc.subject.keywordmultinomialen_US
dc.subject.keywordtreatment effectsen_US
dc.subject.stwInstrumentalvariablen-Schätzmethodeen_US
dc.subject.stwNichtparametrisches Verfahrenen_US
dc.subject.stwMikroökonometrieen_US
dc.subject.stwTheorieen_US
dc.titleInstrumental variables in models with multiple outcomes: the general unordered caseen_US
dc.typeWorking Paperen_US
dc.identifier.ppn572105835en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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