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dc.contributor.authorLafférs, Lukás
dc.date.accessioned2014-11-25T07:48:48Z
dc.date.available2014-11-25T07:48:48Z
dc.date.issued2013-12
dc.identifier.urihttp://hdl.handle.net/11250/226399
dc.description.abstractThis paper provides a novel, simple, and computationally tractable method for determining an identified set that can account for a broad set of economic models when the economic variables are discrete. Using this method, we show using a simple example how imperfect instruments affect the size of the identified set when the assumption of strict exogeneity is relaxed. This knowledge is of great value, as it is interesting to know the extent to which the exogeneity assumption drives results, given it is often a matter of some controversy. Moreover, the flexibility obtained from our newly proposed method suggests that the determination of the identified set need no longer be application specific, with the analysis presenting a unifying framework that algorithmically approaches the question of identification.nb_NO
dc.language.isoengnb_NO
dc.relation.ispartofseriesDoctoral dissertation;01/14
dc.titleEssays in partial identificationnb_NO
dc.typeDoctoral thesisnb_NO
dc.subject.nsiVDP::Social science: 200::Economics: 210::Economics: 212nb_NO
dc.subject.keywordpartial identification
dc.subject.keywordlinear programming
dc.subject.keywordimperfect instruments
dc.description.localcodenhhphd


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