C21

Cross-Sectional Models; Spatial Models

A Unified Framework for Dynamic Treatment Effect Estimation in Interactive Fixed Effect Models

Author(s)

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Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference

Author(s)

James G. MacKinnon

Morten Ø. Nielsen

Matthew D. Webb

Read more about Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference

Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust

Author(s)

James G. MacKinnon

Morten Ø. Nielsen

Matthew D. Webb

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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)

James G. MacKinnon

Matthew D. Webb

Morten Ø. Nielsen

Read more about Fast And Wild: Bootstrap Inference In Stata Using Boottest

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