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  • Search: subject:"cluster sizes"
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Year of publication
Subject
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CRVE 5 cluster sizes 5 clustered data 5 grouped data 5 Cluster analysis 3 Clusteranalyse 3 Regional cluster 3 Regionales Cluster 3 cluster-robust variance estimator 3 wild cluster bootstrap 3 Bootstrap approach 2 Bootstrap-Verfahren 2 Estimation theory 2 Schätztheorie 2 bootstrap 2 cluster jackknife 2 cluster-robust variance estima-tor 2 jackknife 2 two-way fixed effects 2 Induktive Statistik 1 Statistical inference 1 Theorie 1 Theory 1
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Online availability
All
Free 5
Type of publication
All
Book / Working Paper 4 Article 1
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 5
Author
All
MacKinnon, James G. 5 Nielsen, Morten Ørregaard 5 Webb, Matthew 5
Published in...
All
Queen's Economics Department working paper 2 Queen’s Economics Department Working Paper 2 Journal of applied econometrics 1
Source
All
ECONIS (ZBW) 3 EconStor 2
Showing 1 - 5 of 5
Cover Image
Jackknife inference with two-way clustering
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2024
For linear regression models with cross-section or panel data, it is natural to assume that the disturbances are clustered in two dimensions. However, the finite-sample properties of two-way cluster-robust tests and confidence intervals are often poor. We discuss several ways to improve...
Persistent link: https://www.econbiz.de/10015051864
Saved in:
Cover Image
Jackknife inference with two-way clustering
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2024
For linear regression models with cross-section or panel data, it is natural to assume that the disturbances are clustered in two dimensions. However, the finite-sample properties of two-way cluster-robust tests and confidence intervals are often poor. We discuss several ways to improve...
Persistent link: https://www.econbiz.de/10015048741
Saved in:
Cover Image
Fast and reliable jackknife and bootstrap methods for cluster-robust inference
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - In: Journal of applied econometrics 38 (2023) 5, pp. 671-694
Persistent link: https://www.econbiz.de/10014338128
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Cover Image
Fast and reliable jackknife and bootstrap methods for cluster-robust inference
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2022
are not trustworthy, such as when the number of clusters is small and/or cluster sizes vary substantially. …
Persistent link: https://www.econbiz.de/10014451087
Saved in:
Cover Image
Fast and reliable jackknife and bootstrap methods for cluster-robust inference
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2022
are not trustworthy, such as when the number of clusters is small and/or cluster sizes vary substantially. …
Persistent link: https://www.econbiz.de/10013172440
Saved in:
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