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
Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order Author(s) Samuel Brien Michael Jansson Morten Ø. Nielsen Read more about Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order
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
Distributional Gains Of Near Higher Earners Author(s) Charles Beach Read more about Distributional Gains Of Near Higher Earners
Have Middle-class Earnings Risen In Canada? A Statistical Inference Approach Read more about Have Middle-class Earnings Risen In Canada? A Statistical Inference Approach
Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors Author(s) Antoine A. Djogbenou Read more about Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors
Adaptive Inference In Heteroskedastic Fractional Time Series Models Author(s) Giuseppe Cavaliere Morten Ø. Nielsen A.M. Robert Taylor Read more about Adaptive Inference In Heteroskedastic Fractional Time Series Models
Inference With Large Clustered Datasets Author(s) James G. MacKinnon Read more about Inference With Large Clustered Datasets
Randomization Inference For Difference-in-differences With Few Treated Clusters Author(s) James G. MacKinnon Matthew D. Webb Read more about Randomization Inference For Difference-in-differences With Few Treated Clusters
