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  • Search: subject:"Clustered data"
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Year of publication
Subject
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clustered data 60 CRVE 46 Cluster analysis 40 Clusteranalyse 40 Regional cluster 37 Regionales Cluster 37 grouped data 37 wild cluster bootstrap 36 Bootstrap approach 33 Bootstrap-Verfahren 33 Estimation theory 27 Schätztheorie 27 cluster-robust variance estimator 27 Clustered data 22 robust inference 21 Induktive Statistik 19 Statistical inference 19 panel data 19 difference-in-differences 12 wild bootstrap 12 Monte Carlo simulation 10 Monte-Carlo-Simulation 10 Panel 10 Panel study 10 Theorie 10 Theory 10 DiD 7 Regression analysis 7 Regressionsanalyse 7 Wild bootstrap 7 inference 6 randomization inference 6 Statistical test 5 Statistischer Test 5 Wild cluster bootstrap 5 cluster jackknife 5 cluster sizes 5 cluster wild bootstrap 5 Cluster-robust variance estimator 4 Clustered Data 4
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Online availability
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Free 64 Undetermined 31 CC license 1
Type of publication
All
Book / Working Paper 57 Article 38
Type of publication (narrower categories)
All
Working Paper 54 Arbeitspapier 30 Graue Literatur 30 Non-commercial literature 30 Article in journal 17 Aufsatz in Zeitschrift 17 research-article 2 Thesis 1
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Language
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English 74 Undetermined 20 German 1
Author
All
MacKinnon, James G. 52 Webb, Matthew 33 Nielsen, Morten Ørregaard 27 Webb, Matthew D. 9 Canay, Ivan A. 6 Shaikh, Azeem M. 6 Santos, Andres 5 Djogbenou, Antoine A. 4 Berger, Susanne 2 Djogbenou, Antoine 2 Graham, Nathaniel 2 He, Wenqing 2 Liang, Hua 2 Nevalainen, Jaakko 2 Oja, Hannu 2 Wang, YG 2 Zeileis, Achim 2 Antonio, Katrien 1 Aunola, Kaisa 1 Bartolucci, Francesco 1 Begg, Melissa D. 1 Besstremyannaya, Galina 1 Brown, K. Stephen 1 Cai, Yong 1 Campo, Bavo D. C. 1 Carpenter, James R. 1 Claeskens, G. 1 Datta, Somnath 1 Farrell, Patrick J. 1 Feldt, Taru 1 Feng, Xiaoping 1 Ferrari, Pier 1 Fiorio, Carlo 1 Fu, Wei 1 Geerdens, C. 1 Golovan, Sergei 1 Grieve, Richard 1 Harden, Jeffrey J. 1 Ismail, A. 1 Janssen, Paul 1
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Institution
All
Economics Department, Queen's University 2
Published in...
All
Queen's Economics Department working paper 21 Queen’s Economics Department Working Paper 12 Queen's Economics Department Working Paper 9 Journal of econometrics 5 CREATES research paper 3 Stata Journal 3 CEMMAP working papers / Centre for Microdata Methods and Practice 2 Computational Statistics & Data Analysis 2 Journal of Multivariate Analysis 2 Journal of applied econometrics 2 Statistical Methods and Applications 2 Working Papers / Economics Department, Queen's University 2 cemmap working paper 2 AStA Advances in Statistical Analysis 1 Annals of the Institute of Statistical Mathematics 1 Basic research program working papers / Series: Economics / National Research University, Higher School of Economics 1 Computational economics 1 Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics 1 Econometrics : open access journal 1 INFORMS journal on computing : JOC 1 International journal of forecasting 1 Journal of Applied Statistics 1 Journal of Econometric Methods 1 Journal of Educational and Behavioral Statistics 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of econometric methods 1 KBI 1 Organizational research methods : ORM 1 Quaderni - working paper DSE / Alma Mater Studiorum - Università di Bologna, Department of Economics 1 Quality & Quantity: International Journal of Methodology 1 Scandinavian actuarial journal 1 Social Indicators Research 1 Statistical Papers / Springer 1 Statistics & Probability Letters 1 Statistics, Politics, and Policy 1 The econometrics journal 1 Working Papers in Economics and Statistics 1 Working papers in economics and statistics 1
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Source
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ECONIS (ZBW) 47 EconStor 24 RePEc 19 BASE 3 Other ZBW resources 2
Showing 31 - 40 of 95
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Wild bootstrap and asymptotic inference with multiway clustering
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2019
We study two cluster-robust variance estimators (CRVEs) for regression models with clustering in two dimensions and give conditions under which t-statistics based on each of them yield asymptotically valid inferences. In particular, one of the CRVEs requires stronger assumptions about the nature...
Persistent link: https://www.econbiz.de/10012431058
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When and how to deal with clustered errors in regression models
MacKinnon, James G.; Webb, Matthew - 2019
We discuss when and how to deal with possibly clustered errors in linear regression models. Specifically, we discuss situations in which a regression model may plausibly be treated as having error terms that are arbitrarily correlated within known clusters but uncorrelated across them. The...
Persistent link: https://www.econbiz.de/10012431064
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The wild bootstrap with a small number of large clusters
Canay, Ivan A.; Santos, Andres; Shaikh, Azeem M. - 2019
hypotheses about the coefficients in a linear regression model with clustered data. Cameron et al. (2008) provide simulations …
Persistent link: https://www.econbiz.de/10012053026
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Asymptotic theory and wild bootstrap inference with clustered errors
Djogbenou, Antoine A.; MacKinnon, James G.; Nielsen, … - 2019
Persistent link: https://www.econbiz.de/10012063541
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Randomization inference for difference-in-differences with few treated clusters
MacKinnon, James G.; Webb, Matthew - 2019
Inference using difference-in-differences with clustered data requires care. Previous research has shown that, when …
Persistent link: https://www.econbiz.de/10011962945
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How cluster-robust inference is changing applied econometrics
MacKinnon, James G. - 2019
In many fields of economics, and also in other disciplines, it is hard to justify the assumption that the random error terms in regression models are uncorrelated. It seems more plausible to assume that they are correlated within clusters, such as geographical areas or time periods, but...
Persistent link: https://www.econbiz.de/10012183351
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Cover Image
Wild bootstrap and asymptotic inference with multiway clustering
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2019
We study two cluster-robust variance estimators (CRVEs) for regression models with clustering in two dimensions and give conditions under which t-statistics based on each of them yield asymptotically valid inferences. In particular, one of the CRVEs requires stronger assumptions about the nature...
Persistent link: https://www.econbiz.de/10012183373
Saved in:
Cover Image
When and how to deal with clustered errors in regression models
MacKinnon, James G.; Webb, Matthew - 2019
We discuss when and how to deal with possibly clustered errors in linear regression models. Specifically, we discuss situations in which a regression model may plausibly be treated as having error terms that are arbitrarily correlated within known clusters but uncorrelated across them. The...
Persistent link: https://www.econbiz.de/10012183510
Saved in:
Cover Image
Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors
Djogbenou, Antoine A.; MacKinnon, James G.; Nielsen, … - 2018
We study asymptotic inference based on cluster-robust variance estimators for regression models with clustered errors, focusing on the wild cluster bootstrap and the ordinary wild bootstrap. We state conditions under which both asymptotic and bootstrap tests and confidence intervals will be...
Persistent link: https://www.econbiz.de/10011939450
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Wild Bootstrap Randomization Inference for Few Treated Clusters
MacKinnon, James G.; Webb, Matthew - 2018
When there are few treated clusters in a pure treatment or difference-in-differences setting, t tests based on a cluster-robust variance estimator (CRVE) can severely over-reject. Although procedures based on the wild cluster bootstrap often work well when the number of treated clusters is not...
Persistent link: https://www.econbiz.de/10011939455
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