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We also propose several new variants of the wild cluster bootstrap, which involve these CRVEs, jackknife\u2010based bootstrap data\u2010generating processes, or both. Extensive simulation experiments suggest that the new methods can provide much more reliable inferences than existing ones in cases where the latter are not trustworthy, such as when the number of clusters is small and\/or cluster sizes vary substantially. Three empirical examples illustrate the new methods.<\/jats:p>","DOI":"10.1002\/jae.2969","type":"journal-article","created":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T08:49:06Z","timestamp":1676278146000},"page":"671-694","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Fast and reliable jackknife and bootstrap methods for cluster\u2010robust inference"],"prefix":"10.1002","volume":"38","author":[{"given":"James G.","family":"MacKinnon","sequence":"first","affiliation":[{"name":"Department of Economics Queen's University Kingston Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Morten \u00d8rregaard","family":"Nielsen","sequence":"additional","affiliation":[{"name":"Department of Economics and Business Economics Aarhus University Aarhus Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew D.","family":"Webb","sequence":"additional","affiliation":[{"name":"Department of Economics Carleton University Ottawa Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,3,27]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.20171867"},{"key":"e_1_2_11_3_1","first-page":"169","article-title":"Bias reduction in standard errors for linear regression with multi\u2010stage samples","volume":"28","author":"Bell R. 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