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  • Search: subject:"model selection methods"
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Year of publication
Subject
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model selection methods 2 Monte Carlo simulations 1 backwards variable elimination 1 cointegration 1 error correction model 1 information criteria 1 lag length selection 1 regression models 1 sequential testing 1 variable selection methods 1 vector autoregressive model 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Language
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Undetermined 2
Author
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Austin, Peter 1 Giles, Judith A. 1 Mirza, Sadaf 1
Institution
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Department of Economics, University of Victoria 1
Published in...
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Econometrics Working Papers 1 Journal of Applied Statistics 1
Source
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RePEc 2
Showing 1 - 2 of 2
Cover Image
Some Pretesting Issues on Testing for Granger Noncausality
Giles, Judith A.; Mirza, Sadaf - Department of Economics, University of Victoria - 1999
We compare testing strategies for Granger noncausality in vector autoregressions (VARs) that may or may not have unit roots and cointegration. Sequential testing methods are examined; these test for cointegration and use either a differenced VAR or a vector error correction model (VECM), in which...
Persistent link: https://www.econbiz.de/10005260596
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Cover Image
The large-sample performance of backwards variable elimination
Austin, Peter - In: Journal of Applied Statistics 35 (2008) 12, pp. 1355-1370
Prior studies have shown that automated variable selection results in models with substantially inflated estimates of the model R2, and that a large proportion of selected variables are truly noise variables. These earlier studies used simulated data sets whose sample sizes were at most 100. We...
Persistent link: https://www.econbiz.de/10005458197
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