Photo of Matthew D. Webb

Matthew D. Webb

Associate Professor

Degrees:B.A., M.A. (Wilfrid Laurier), Ph.D. (Queen’s)
Phone: 613-520-2600 x 3752
Email:matt.webb@carleton.ca
Office:B-846 Loeb
Website:Browse

Research fields:  applied econometrics and labour economics

Expertise:
• cluster robust inference
• bootstrap inference
• micro-data analysis

Refereed Publications in the Last 6 Years:

Randomization Inference for Difference-in-Differences with Few Treated Clusters,” (with James G. Mackinnon), Journal of Econometrics, Volume 218, Issue 2, October 2020, Pages 435-450. 

“A Simple, Graphical Procedure for Comparing Multiple Treatment Effects,” (with Brennan S. Thompson), Econometrics Journal, Volume 22, Issue 2, May 2019, Pages 188–205.

“Fast and Wild: Bootstrap Inference in Stata using boottest,” (with David Roodman, James G. MacKinnon, and Morten Ø. Nielsen), The Stata Journal, Volume 19, Issue 1, 2019, Pages 4–60.

“Wild Bootstrap Randomization Inference for Few Treated Clusters,” (with James G. Mackinnon), Advances in Econometrics, Volume 39, 2019, Pages 61-85.

“Immigrant Category of Admission and the Earnings of Adults and Children: How far does the Apple Fall?” (with Casey Warman and Christopher Worswick), Journal of Population Economics, Volume 32, Number 1, January 2019, Pages 53–112.

“The Wild Bootstrap for Few (Treated) Clusters” (with James G. MacKinnon), Econometrics Journal, Volume 21, Number 2, June 2018, Pages 114-135.

“Pitfalls when Estimating Treatment Effects Using Clustered Data, ” (with James G. Mackinnon), The Political Methodologist, Volume 24, Issue 2, 2017, Pages 20-31.

“Wild Bootstrap Inference for Wildly Different Cluster Sizes” (with James G. MacKinnon), Journal of Applied Econometrics, Volume 32, Number 2, March 2017, Pages 233–254.

“Targeting Tax Relief at Youth Employment,” (with Arthur Sweetman and Casey Warman), Canadian Public Policy, Volume 42, Issue 4, 2016, Pages 415-430.

Most Significant Career Research Contributions:

“Fast and Wild: Bootstrap Inference in Stata using boottest,” (with David Roodman, James G. MacKinnon, and Morten Ø. Nielsen), The Stata Journal, Volume 19, Issue 1, 2019, Pages 4–60.

“A Simple, Graphical Procedure for Comparing Multiple Treatment Effects,” (with Brennan S. Thompson), Econometrics Journal, Volume 22, Issue 2, May 2019, Pages 188–205.

“The Wild Bootstrap for Few (Treated) Clusters” (with James G. MacKinnon), Econometrics Journal, Volume 21, Number 2, June 2018, Pages 114-135.

“Wild Bootstrap Inference for Wildly Different Cluster Sizes” (with James G. MacKinnon), Journal of Applied Econometrics, Volume 32, Number 2, March 2017, Pages 233–254.