معرفی
Professor Matthew Webb is a faculty member in the Department of Economics at Carleton University, where he conducts research in applied econometrics and labor economics. He holds a Ph.D. from Queen’s University and degrees from Wilfrid Laurier University.
His educational background includes:
- B.A. and M.A. from Wilfrid Laurier University
- Ph.D. from Queen’s University
Matthew Webb's research focuses on improving statistical inference methods for clustered data. His work in cluster-robust inference, bootstrap methods, and difference-in-differences has significantly contributed to econometric practice. He develops tools to reduce false positives in policy evaluation, particularly when data exhibit clustering or limited treated units.
His recent publications show a strong trend in refining bootstrap techniques for small numbers of clusters and advancing DiD methods for unpoolable data. These works span top journals like the Journal of Econometrics, Canadian Journal of Economics, and Journal of Applied Econometrics, highlighting methodological rigor and practical applicability.
Scientific awards received:
- 2019 Research Achievement Award for work on cluster robust inference with binary outcomes
Professor Webb has secured major research grants, including a 2021 SSHRC Insight Grant and a 2021 CIHR Project Grant. As primary applicant and co-investigator respectively, he collaborates with leading scholars like James G. MacKinnon and Erin Strumpf to develop robust statistical tools for policy analysis. These grants support the creation of both technical and non-technical resources to improve empirical practice in economics and health policy.
He is actively involved in developing practical tools for researchers, notably through the boottest package in Stata, making advanced inference accessible to applied researchers.
