The wild bootstrap for few (treated) clusters
Year of publication: |
2018
|
---|---|
Authors: | MacKinnon, James G. ; Webb, Matthew |
Published in: |
The econometrics journal. - Oxford : Oxford University Press, ISSN 1368-423X, ZDB-ID 1475536-1. - Vol. 21.2018, 2, p. 114-135
|
Subject: | Clustered data | Cluster-robust variance estimator | Difference-in-differences | Grouped data | Robust inference | Subclustering | Treatment model | Wild bootstrap | Wild clusterbootstrap | Bootstrap-Verfahren | Bootstrap approach | Clusteranalyse | Cluster analysis | Schätztheorie | Estimation theory | Monte-Carlo-Simulation | Monte Carlo simulation | Statistischer Fehler | Statistical error | Heteroskedastizität | Heteroscedasticity |
-
The subcluster wild bootstrap for few (treated) clusters
MacKinnon, James G., (2016)
-
Testing for the appropriate level of clustering in linear regression models
MacKinnon, James G., (2020)
-
Testing for the appropriate level of clustering in linear regression models
MacKinnon, James G., (2023)
- More ...
-
Cluster-robust jackknife and bootstrap inference for binary response models
MacKinnon, James G., (2024)
-
Jackknife inference with two-way clustering
MacKinnon, James G., (2024)
-
Fast and reliable jackknife and bootstrap methods for cluster-robust inference
MacKinnon, James G., (2022)
- More ...