C15

Statistical Simulation Methods; Monte Carlo Methods

Fast cluster bootstrap methods for linear regression models

Author(s)

James G. MacKinnon

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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)

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

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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

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