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Testing for the Unc...
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de Luna, Xavier,1968-Umeå universitet,Statistik
(författare)
Testing for the Unconfoundedness Assumption Using an Instrumental Assumption
- Artikel/kapitelEngelska2014
Förlag, utgivningsår, omfång ...
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Walter de Gruyter GmbH,2014
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electronicrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:umu-87968
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https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-87968URI
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https://doi.org/10.1515/jci-2013-0011DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
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The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption (exogeneity of the treatment) or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assumption. In this paper, we present a set of assumptions on an instrumental variable which allows us to test for the unconfoundedness assumption, although they do not necessarily yield nonparametric identification of an average causal effect. We propose a test for the unconfoundedness assumption based on the instrumental assumptions introduced and give conditions under which the test has power. We perform a simulation study and apply the results to a case study where the interest lies in evaluating the effect of job practice on employment.
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Johansson, PerDepartment of Economics, Uppsala University, Uppsala, Sweden; Institute for Evaluation of Labour Market and Education Policy, Uppsala, Sweden
(författare)
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Umeå universitetStatistik
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Journal of Causal Inference: Walter de Gruyter GmbH2:2, s. 187-1992193-36772193-3685
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