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  • Search: subject:"linear IV regression"
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Year of publication
Subject
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Asymptotic size 2 Estimation theory 2 Regression analysis 2 Regressionsanalyse 2 Schätztheorie 2 linear IV regression 2 subvector inference 2 weak instruments 2 IV-Schätzung 1 Instrumental variables 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Statistical test 1 Statistischer Test 1 Tikhonov regularization 1 functional linear IV regression 1 nonidentified linear models 1 nonparametric IV regression 1 weak identification 1
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Online availability
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Free 2
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Arbeitspapier 1 Article 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 3
Author
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Guggenberger, Patrik 2 Kleibergen, Frank 2 Mavroeidis, Sophocles 2 Babii, Andrii 1 Florens, Jean-Pierre 1
Published in...
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Quantitative Economics 1 Quantitative economics : QE ; journal of the Econometric Society 1 Working papers / TSE : WP 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Is completeness necessary? : estimation in nonidentified linear models
Babii, Andrii; Florens, Jean-Pierre - 2020
Persistent link: https://www.econbiz.de/10012215944
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A more powerful subvector Anderson Rubin test in linear instrumental variables regression
Guggenberger, Patrik; Kleibergen, Frank; Mavroeidis, … - In: Quantitative Economics 10 (2019) 2, pp. 487-526
We study subvector inference in the linear instrumental variables model assuming homoskedasticity but allowing for weak instruments. The subvector Anderson and Rubin (1949) test that uses chi square critical values with degrees of freedom reduced by the number of parameters not under test,...
Persistent link: https://www.econbiz.de/10012215379
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Cover Image
A more powerful subvector Anderson Rubin test in linear instrumental variables regression
Guggenberger, Patrik; Kleibergen, Frank; Mavroeidis, … - In: Quantitative economics : QE ; journal of the … 10 (2019) 2, pp. 487-526
We study subvector inference in the linear instrumental variables model assuming homoskedasticity but allowing for weak instruments. The subvector Anderson and Rubin (1949) test that uses chi square critical values with degrees of freedom reduced by the number of parameters not under test,...
Persistent link: https://www.econbiz.de/10012042429
Saved in:
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