Fast cluster bootstrap methods for linear regression models Author(s) James G. MacKinnon Read more about Fast cluster bootstrap methods for linear regression models
Cluster-Robust Inference: A Guide to Empirical Practice Author(s) James G. MacKinnon Morten Ø. Nielsen Matthew D. Webb Read more about Cluster-Robust Inference: A Guide to Empirical Practice
Testing for the appropriate level of clustering in linear regression models Author(s) James G. MacKinnon Morten Ø. Nielsen Matthew D. Webb Read more about Testing for the appropriate level of clustering in linear regression models
When and How to Deal With Clustered Errors in Regression Models Author(s) James G. MacKinnon Matthew D. Webb Read more about When and How to Deal With Clustered Errors in Regression Models
Wild Bootstrap and Asymptotic Inference with Multiway Clustering Author(s) James G. MacKinnon Morten Ø. Nielsen Matthew D. Webb Read more about Wild Bootstrap and Asymptotic Inference with Multiway Clustering
How cluster-robust inference is changing applied econometrics Author(s) James G. MacKinnon Read more about How cluster-robust inference is changing applied econometrics
Fast And Wild: Bootstrap Inference In Stata Using Boottest Author(s) David Roodman James G. MacKinnon Matthew D. Webb Morten Ø. Nielsen Read more about Fast And Wild: Bootstrap Inference In Stata Using Boottest
Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors Author(s) Antoine A. Djogbenou James G. MacKinnon Morten Ø. Nielsen Read more about Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors
Pitfalls When Estimating Treatment Effects Using Clustered Data Author(s) James G. MacKinnon Matthew D. Webb Read more about Pitfalls When Estimating Treatment Effects Using Clustered Data
Bootstrap And Asymptotic Inference With Multiway Clustering Author(s) James G. MacKinnon Matthew D. Webb Morten Ø. Nielsen Read more about Bootstrap And Asymptotic Inference With Multiway Clustering
