{"id":24577,"date":"2015-05-15T15:07:28","date_gmt":"2015-05-15T19:07:28","guid":{"rendered":"http:\/\/carleton.ca\/economics\/?post_type=cu_people&p=24577"},"modified":"2025-07-21T15:04:41","modified_gmt":"2025-07-21T19:04:41","slug":"webb-matthew-d","status":"publish","type":"cu_people","link":"https:\/\/carleton.ca\/economics\/people\/webb-matthew-d\/","title":{"rendered":"Matthew D. Webb"},"content":{"rendered":"
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\n \n \n \n <\/h1>\n\n \n <\/header>\n\n\n\n

Research fields<\/strong>:  applied econometrics and labour economics<\/p>\n\n\n\n

Expertise<\/strong>:
\n\u2022 cluster robust inference
\n\u2022 bootstrap inference
\n\u2022 micro-data analysis<\/p>\n\n\n\n

Refereed Publications in the Last 6 Years:<\/h4>\n\n\n\n

For a Complete List of Publications: Matthew Webb Google Scholar<\/a><\/p>\n\n\n\n

Most Significant Career Research Contributions:<\/h4>\n\n\n\n

“Cluster-Robust Interference: A Guide to Empirical Practice,” (with James G. MacKinnon, and Morten \u00d8. Nielsen), Journal of Econometrics<\/em>, Volume 232, Issue 2, 2023, Pages 272-299.<\/a><\/p>\n\n\n\n

“Reworking Wild Bootstrap-Based Inference for Clustered Errors”, Canadian Journal of Economics<\/em>, Volume 56, Issue 3, 2023, Pages 839-858.<\/a><\/p>\n\n\n\n

“Fast and Wild: Bootstrap Inference in Stata using Boottest,” (with David Roodman, James G. MacKinnon, and Morten \u00d8. Nielsen), The Stata Journal<\/em>, Volume 19, Issue 1, 2019, Pages 4\u201360.<\/a><\/p>\n\n\n\n

“Randomization Inference for Difference-in-Differences with Few Treated Clusters,” (with James G. Mackinnon), Journal of Econometrics<\/em>, Volume 218, Issue 2, October 2020, Pages 435-450. <\/span><\/a><\/p>\n\n\n\n

“The Wild Bootstrap for Few (Treated) Clusters” (with James G. MacKinnon), Econometrics Journal, <\/em>Volume 21, Number 2, June 2018, Pages 114-135.<\/a><\/p>\n\n\n\n

\u201cWild Bootstrap Inference for Wildly Different Cluster Sizes\u201d (with James G. MacKinnon), Journal of Applied Econometrics<\/em>, Volume 32, Number 2, March 2017, Pages 233\u2013254.<\/a><\/p>\n\n\n\n

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