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Testing for the Unc...
Testing for the Unconfoundedness Assumption Using an Instrumental Assumption
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- de Luna, Xavier, 1968- (författare)
- Umeå universitet,Statistik
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- Johansson, Per (författare)
- Department of Economics, Uppsala University, Uppsala, Sweden; Institute for Evaluation of Labour Market and Education Policy, Uppsala, Sweden
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(creator_code:org_t)
- Walter de Gruyter GmbH, 2014
- 2014
- Engelska.
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Ingår i: Journal of Causal Inference. - : Walter de Gruyter GmbH. - 2193-3677 .- 2193-3685. ; 2:2, s. 187-199
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- causal inference
- average treatment effect
- job practice
- nonparametric identification
- Statistics
- statistik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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