Jackknife inference with two-way clustering
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- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024. "Jackknife Inference with Two-Way Clustering," Working Paper 1516, Economics Department, Queen's University.
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- Harold D. Chiang & Kengo Kato & Yukun Ma & Yuya Sasaki, 2022.
"Multiway Cluster Robust Double/Debiased Machine Learning,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1046-1056, June.
- Harold D. Chiang & Kengo Kato & Yukun Ma & Yuya Sasaki, 2019. "Multiway Cluster Robust Double/Debiased Machine Learning," Papers 1909.03489, arXiv.org, revised Mar 2020.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021.
"Wild Bootstrap and Asymptotic Inference With Multiway Clustering,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
- James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper 1415, Economics Department, Queen's University.
- James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
- Guido W. Imbens & Michal Kolesár, 2016.
"Robust Standard Errors in Small Samples: Some Practical Advice,"
The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 701-712, October.
- Guido W. Imbens & Michal Kolesar, 2012. "Robust Standard Errors in Small Samples: Some Practical Advice," NBER Working Papers 18478, National Bureau of Economic Research, Inc.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008.
"Bootstrap-Based Improvements for Inference with Clustered Errors,"
The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
- Jonah B. Gelbach & Doug Miller & A. Colin Cameron, 2006. "Bootstrap-Based Improvements for Inference with Clustered Errors," Working Papers 128, University of California, Davis, Department of Economics.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2007. "Bootstrap-Based Improvements for Inference with Clustered Errors," NBER Technical Working Papers 0344, National Bureau of Economic Research, Inc.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011.
"Robust Inference With Multiway Clustering,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
- Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2006. "Robust Inference with Multi-way Clustering," NBER Technical Working Papers 0327, National Bureau of Economic Research, Inc.
- Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019.
"Asymptotic theory and wild bootstrap inference with clustered errors,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
- Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
- Thompson, Samuel B., 2011. "Simple formulas for standard errors that cluster by both firm and time," Journal of Financial Economics, Elsevier, vol. 99(1), pages 1-10, January.
- Konrad Menzel, 2021. "Bootstrap With Cluster‐Dependence in Two or More Dimensions," Econometrica, Econometric Society, vol. 89(5), pages 2143-2188, September.
- MacKinnon, James G. & White, Halbert, 1985.
"Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties,"
Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
- James G. MacKinnon & Halbert White, 1983. "Some Heteroskedasticity Consistent Covariance Matrix Estimators with Improved Finite Sample Properties," Working Paper 537, Economics Department, Queen's University.
- Harold D. Chiang & Kengo Kato & Yuya Sasaki, 2023.
"Inference for High-Dimensional Exchangeable Arrays,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(543), pages 1595-1605, July.
- Harold D. Chiang & Kengo Kato & Yuya Sasaki, 2020. "Inference for high-dimensional exchangeable arrays," Papers 2009.05150, arXiv.org, revised Jul 2021.
- Andrew V. Carter & Kevin T. Schnepel & Douglas G. Steigerwald, 2017. "Asymptotic Behavior of a t -Test Robust to Cluster Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 698-709, July.
- Marcella Alsan, 2015. "The Effect of the TseTse Fly on African Development," American Economic Review, American Economic Association, vol. 105(1), pages 382-410, January.
- Tom Boot & Gianmaria Niccodemi & Tom Wansbeek, 2023. "Unbiased estimation of the OLS covariance matrix when the errors are clustered," Empirical Economics, Springer, vol. 64(6), pages 2511-2533, June.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004.
"How Much Should We Trust Differences-In-Differences Estimates?,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2002. "How Much Should We Trust Differences-in-Differences Estimates?," NBER Working Papers 8841, National Bureau of Economic Research, Inc.
- Laurent Davezies & Xavier D’haultfœuille & Yannick Guyonvarch, 2021. "Empirical process results for exchangeable arrays," Post-Print hal-04430851, HAL.
- James G. MacKinnon & Matthew D. Webb, 2017.
"Wild Bootstrap Inference for Wildly Different Cluster Sizes,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
- James G. MacKinnon & Matthew D. Webb, 2015. "Wild Bootstrap Inference For Wildly Different Cluster Sizes," Working Paper 1314, Economics Department, Queen's University.
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JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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This paper has been announced in the following NEP Reports:- NEP-ECM-2024-07-15 (Econometrics)
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