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  • Search: subject:"Paired bootstrap"
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Year of publication
Subject
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Paired bootstrap 3 Parameter inference 3 Spatial econometrics 3 Wild bootstrap 3 Bootstrap approach 1 Bootstrap-Verfahren 1 Econometrics 1 Induktive Statistik 1 Regional economics 1 Regionalökonomik 1 Räumliche Interaktion 1 Spatial interaction 1 Statistical inference 1 Theorie 1 Theory 1 Ökonometrie 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2 Undetermined 1
Author
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Klarl, Torben 3
Institution
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Institut für Volkswirschaftlehre, Fakultät für Wirtschaftswissenschaften 1
Published in...
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Volkswirtschaftliche Diskussionsreihe 2 Discussion Paper Series / Institut für Volkswirschaftlehre, Fakultät für Wirtschaftswissenschaften 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
Cover Image
Is Spatial Bootstrapping a Panacea for Valid Inference?
Klarl, Torben - Institut für Volkswirschaftlehre, Fakultät für … - 2013
Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms...
Persistent link: https://www.econbiz.de/10010859384
Saved in:
Cover Image
Is spatial bootstrapping a panacea for valid inference?
Klarl, Torben - 2013
Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms...
Persistent link: https://www.econbiz.de/10010239512
Saved in:
Cover Image
Is spatial bootstrapping a panacea for valid inference?
Klarl, Torben - 2013
Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms...
Persistent link: https://www.econbiz.de/10010332645
Saved in:
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