7 citations · 8 across the 7 of their papers we have counts for
8 papers
Good Guys With Guns? The Relationship Between Legal Firearm Ownership and Firearm Deaths and Crime in Canada
Derek Mikola, Matthew D. Webb
Civilian firearm ownership is politically contentious, yet most evidence linking guns to crime and death comes from the U.S. Canada offers a unique case: strict national regulation…
Improved Inference for CSDID Using the Cluster Jackknife
Sunny R. Karim, Morten Ørregaard Nielsen, James G. MacKinnon +1
Obtaining reliable inferences with traditional difference-in-differences (DiD) methods can be difficult. Problems can arise when both outcomes and errors are serially correlated, w…
Jackknife inference with two-way clustering
James G. MacKinnon, Morten Ørregaard Nielsen, Matthew D. Webb
For linear regression models with cross-section or panel data, it is natural to assume that the disturbances are clustered in two dimensions. However, the finite-sample properties…
Cluster-robust jackknife and bootstrap inference for logistic regression models
James G. MacKinnon, Morten Ørregaard Nielsen, Matthew D. Webb
We study cluster-robust inference for logistic regression (logit) models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unre…
Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference
James G. MacKinnon, Morten Ørregaard Nielsen, Matthew D. Webb
We provide computationally attractive methods to obtain jackknife-based cluster-robust variance matrix estimators (CRVEs) for linear regression models estimated by least squares. W…
Testing for the appropriate level of clustering in linear regression models
James G. MacKinnon, Morten Ørregaard Nielsen, Matthew D. Webb
The overwhelming majority of empirical research that uses cluster-robust inference assumes that the clustering structure is known, even though there are often several possible ways…
Cluster-Robust Inference: A Guide to Empirical Practice
James G. MacKinnon, Morten Ørregaard Nielsen, Matthew D. Webb
Methods for cluster-robust inference are routinely used in economics and many other disciplines. However, it is only recently that theoretical foundations for the use of these meth…
Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust
James G. MacKinnon, Morten Ørregaard Nielsen, Matthew D. Webb
We introduce a new Stata package called summclust that summarizes the cluster structure of the dataset for linear regression models with clustered disturbances. The key unit of obs…