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  • Search: subject:"cluster wild bootstrap"
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Year of publication
Subject
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CRVE 5 cluster wild bootstrap 5 clustered data 5 grouped data 5 panel data 5 Bootstrap approach 3 Bootstrap-Verfahren 3 Cluster analysis 3 Clusteranalyse 3 Monte Carlo simulation 3 Monte-Carlo-Simulation 3 Panel 3 Panel study 3 Regional cluster 3 Regionales Cluster 3 Theorie 1 Theory 1 difference in differences 1 effective number of clusters 1 placebo laws 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)
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Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 5
Author
All
MacKinnon, James G. 3 Webb, Matthew 3 Webb, Matthew D. 2
Published in...
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Queen's Economics Department Working Paper 2 Queen's Economics Department working paper 2 Journal of applied econometrics 1
Source
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ECONIS (ZBW) 3 EconStor 2
Showing 1 - 5 of 5
Cover Image
Wild Bootstrap Inference for Wildly Different Cluster Sizes
MacKinnon, James G.; Webb, Matthew D. - 2014
. In contrast, using a cluster wild bootstrap procedure for the same dataset usually results in very accurate rejection …
Persistent link: https://www.econbiz.de/10010368290
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Cover Image
Wild bootstrap inference for wildly different cluster sizes
MacKinnon, James G.; Webb, Matthew - 2014 - May 27, 2014
. In contrast, using a cluster wild bootstrap procedure for the same dataset usually results in very accurate rejection …
Persistent link: https://www.econbiz.de/10009781104
Saved in:
Cover Image
Reworking Wild Bootstrap Based Inference for Clustered Errors
Webb, Matthew D. - 2013
Many empirical projects are well suited to incorporating a linear difference-in-differences research design. While estimation is straightforward, reliable inference can be a challenge. Past research has not only demonstrated that estimated standard errors are biased dramatically downwards in...
Persistent link: https://www.econbiz.de/10010368299
Saved in:
Cover Image
Reworking wild bootstrap based inference for clustered errors
Webb, Matthew - 2013
Many empirical projects are well suited to incorporating a linear difference-in-differences research design. While estimation is straightforward, reliable inference can be a challenge. Past research has not only demonstrated that estimated standard errors are biased dramatically downwards in...
Persistent link: https://www.econbiz.de/10009782111
Saved in:
Cover Image
Wild bootstrap inference for wildly different cluster sizes
MacKinnon, James G.; Webb, Matthew - In: Journal of applied econometrics 32 (2017) 2, pp. 233-254
Persistent link: https://www.econbiz.de/10011689759
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