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
Wild Bootstrap Randomization Inference For Few Treated Clusters Author(s) James G. MacKinnon Matthew D. Webb Read more about Wild Bootstrap Randomization Inference For Few Treated Clusters
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
Validity Of Wild Bootstrap Inference With Clustered Errors Author(s) Antoine A. Djogbenou James G. MacKinnon Morten Ø. Nielsen Read more about Validity Of Wild Bootstrap Inference With Clustered Errors
Inference With Large Clustered Datasets Author(s) James G. MacKinnon Read more about Inference With Large Clustered Datasets
The Wild Bootstrap For Few (treated) Clusters Author(s) James G. MacKinnon Matthew D. Webb Read more about The Wild Bootstrap For Few (treated) Clusters
