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  • Search: subject:"debt effect on GDP growth"
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Year of publication
Subject
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Threshold model 4 oracle inequality 4 sup-norm bound 4 thresholded scaled Lasso 4 debt effect on gdp growth 3 Economic growth 2 National income 2 Nationaleinkommen 2 Nichtlineare Regression 2 Nonlinear regression 2 Theorie 2 Theory 2 Wirtschaftswachstum 2 Debt effect on GDP growth 1 Estimation 1 Oracle inequality 1 Regression analysis 1 Regressionsanalyse 1 Schätzung 1 Sup-norm bound 1 Thresholded scaled Lasso 1 debt effect on GDP growth 1 threshold model 1
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Online availability
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Free 4 Undetermined 1
Type of publication
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Book / Working Paper 4 Article 1
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3 Undetermined 2
Author
All
Callot, Laurent 5 Caner, Mehmet 5 Kock, Anders Bredahl 5 Riquelme, Juan Andres 5
Institution
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School of Economics and Management, University of Aarhus 1 Tinbergen Instituut 1
Published in...
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CREATES Research Papers 1 Discussion paper / Tinbergen Institute 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Tinbergen Institute Discussion Paper 1 Tinbergen Institute Discussion Papers 1
Source
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ECONIS (ZBW) 2 RePEc 2 EconStor 1
Showing 1 - 5 of 5
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Sharp Threshold Detection based on Sup-Norm Error Rates in High-dimensional Models
Callot, Laurent; Caner, Mehmet; Kock, Anders Bredahl; … - 2015
We propose a new estimator, the thresholded scaled Lasso, in high dimensional threshold regressions. First, we establish an upper bound on the <I>ℓ</I><SUB>∞</SUB> estimation error of the scaled Lasso estimator of Lee et al. (2012). This is a non-trivial task as the literature on high-dimensional models has...</sub></i>
Persistent link: https://www.econbiz.de/10010491399
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Sharp Threshold Detection Based on Sup-norm Error rates in High-dimensional Models
Callot, Laurent; Caner, Mehmet; Kock, Anders Bredahl; … - School of Economics and Management, University of Aarhus - 2015
We propose a new estimator, the thresholded scaled Lasso, in high dimensional threshold regressions. First, we establish an upper bound on the sup-norm estimation error of the scaled Lasso estimator of Lee et al. (2012). This is a non-trivial task as the literature on highdimensional models has...
Persistent link: https://www.econbiz.de/10011168920
Saved in:
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Sharp Threshold Detection based on Sup-Norm Error Rates in High-dimensional Models
Callot, Laurent; Caner, Mehmet; Kock, Anders Bredahl; … - Tinbergen Instituut - 2015
We propose a new estimator, the thresholded scaled Lasso, in high dimensional threshold regressions. First, we establish an upper bound on the <I>ℓ</I><SUB>∞</SUB> estimation error of the scaled Lasso estimator of Lee et al. (2012). This is a non-trivial task as the literature on high-dimensional models has...</sub></i>
Persistent link: https://www.econbiz.de/10011256756
Saved in:
Cover Image
Sharp threshold detection based on sup-norm error rates in high-dimensional models
Callot, Laurent; Caner, Mehmet; Kock, Anders Bredahl; … - 2015
We propose a new estimator, the thresholded scaled Lasso, in high dimensional threshold regressions. First, we establish an upper bound on the l∞ estimation error of the scaled Lasso estimator of Lee et al. (2012). This is a non-trivial task as the literature on high-dimensional models has...
Persistent link: https://www.econbiz.de/10010477099
Saved in:
Cover Image
Sharp threshold detection based on sup-norm error rates in high-dimensional models
Callot, Laurent; Caner, Mehmet; Kock, Anders Bredahl; … - In: Journal of business & economic statistics : JBES ; a … 35 (2017) 2, pp. 250-264
Persistent link: https://www.econbiz.de/10011704188
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