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The wild bootstrap with a "small" number of "large" clusters

Citations

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Cited by:

  1. Iyer, Sriya & Larcom, Shaun & Shah, Jaimin & She, Po-Wen, 2025. "Do religious people cope better in a crisis? Evidence from the UK pandemic lockdowns," Journal of Economic Behavior & Organization, Elsevier, vol. 237(C).
  2. Heckman, James & Pinto, Rodrigo & Shaikh, Azeem M., 2024. "Dealing with imperfect randomization: Inference for the highscope perry preschool program," Journal of Econometrics, Elsevier, vol. 243(1).
  3. MacKinnon, James G., 2023. "Fast cluster bootstrap methods for linear regression models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
  4. Yong Cai, 2021. "Some Finite Sample Properties of the Sign Test," Papers 2103.01412, arXiv.org, revised Feb 2024.
  5. Ampofo, Akwasi & Cheng, Terence C. & Doko Tchatoka, Firmin, 2022. "Oil extraction and spillover effects into local labour market: Evidence from Ghana," Energy Economics, Elsevier, vol. 106(C).
  6. Li, Wenchao & Lian, Fangzhou & Zhong, Ninghua, 2025. "Highways to prosperity: Unlocking their potential through anti-poverty interventions," Journal of Economic Behavior & Organization, Elsevier, vol. 239(C).
  7. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
  8. Chiara Berneri & Shaun Larcom & Congmin Peng & Po-Wen She, 2024. "The impact of law on moral and social norms: evidence from facemask fines in the UK," European Journal of Law and Economics, Springer, vol. 57(3), pages 311-346, June.
  9. Weiss, Amanda, 2024. "How Much Should We Trust Modern Difference-in-Differences Estimates?," OSF Preprints bqmws, Center for Open Science.
  10. Cai, Yong & Rafi, Ahnaf, 2024. "On the performance of the Neyman Allocation with small pilots," Journal of Econometrics, Elsevier, vol. 242(1).
  11. James G. MacKinnon, 2025. "When can we trust cluster-robust inference?," Canadian Stata Users' Group Meetings 2025 11, Stata Users Group.
  12. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," NBER Working Papers 32822, National Bureau of Economic Research, Inc.
  13. Yu Zheng & Honggang Fan, 2025. "Fast Cluster Bootstrap Methods for Spatial Error Models," Mathematics, MDPI, vol. 13(18), pages 1-16, September.
  14. Balmford, Ben & Collins, Joseph & Day, Brett & Lindsay, Luke & Peacock, James, 2023. "Pricing rules for PES auctions: Evidence from a natural experiment," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
  15. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Journal of Econometrics, Elsevier, vol. 237(2).
  16. Atsushi Inoue & Òscar Jordà & Guido M Kuersteiner, 2026. "Inference for local projections," The Econometrics Journal, Royal Economic Society, vol. 29(1), pages 2-26.
  17. Hwang, Jungbin, 2021. "Simple and trustworthy cluster-robust GMM inference," Journal of Econometrics, Elsevier, vol. 222(2), pages 993-1023.
  18. François Bareille & Raja Chakir, 2024. "Structural identification of weather impacts on crop yields: Disentangling agronomic from adaptation effects," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 989-1019, May.
  19. Young, Alwyn, 2025. "Consistency of the OLS bootstrap for independently but not-identically distributed data: a permutation perspective," LSE Research Online Documents on Economics 130036, London School of Economics and Political Science, LSE Library.
  20. Felipe González & Luis R Martínez & Pablo Muñoz & Mounu Prem, 2024. "Higher Education and Mortality: Legacies of an Authoritarian College Contraction," Journal of the European Economic Association, European Economic Association, vol. 22(4), pages 1762-1797.
  21. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
  22. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
  23. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org, revised Feb 2025.
  24. Yong Cai, 2021. "A Modified Randomization Test for the Level of Clustering," Papers 2105.01008, arXiv.org, revised Jan 2022.
  25. repec:osf:osfxxx:bqmws_v1 is not listed on IDEAS
  26. Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.
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