Photo of Matthew D. Webb

Matthew D. Webb

Assistant 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, October 2020, Vol. 218, Issue. 2, pp. 435-450. 

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

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

“Wild Bootstrap Randomization Inference for Few Treated Clusters,” (with James G. Mackinnon), Advances in Econometrics, (2019), Vol. 39, pp. 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, Vol. 32, No.1 (January 2019), pp. 53–112.

“The Wild Bootstrap for Few (Treated) Clusters” (with James G. MacKinnon), Econometrics Journal, Vol. 21, No. 2 (June 2018), pp. 114-135.

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

“Wild Bootstrap Inference for Wildly Different Cluster Sizes” (with James G. MacKinnon), Journal of Applied Econometrics, Vol. 32, No. 2 (March 2017), pp. 233–254.

“Targeting Tax Relief at Youth Employment,” (with Arthur Sweetman and Casey Warman), Canadian Public Policy, 42(4), (2016), pp.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, 2019, Vol. 19, Issue. 1, pp. 4–60.

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

“The Wild Bootstrap for Few (Treated) Clusters” (with James G. MacKinnon), Econometrics Journal, Vol. 21, No. 2 (June 2018), pp. 114-135.

“Wild Bootstrap Inference for Wildly Different Cluster Sizes” (with James G. MacKinnon), Journal of Applied Econometrics, Vol. 32, No. 2 (March 2017), pp. 233–254.