Articles with public access mandates - Matthew WebbLearn more
Not available anywhere: 1
Clustering Methods for Statistical Inference
JG MacKinnon, MD Webb
Handbook of Labor, Human Resources and Population Economics, 1-37, 2020
Mandates: Social Sciences and Humanities Research Council, Canada
Available somewhere: 16
Fast and wild: Bootstrap inference in Stata using boottest
D Roodman, MØ Nielsen, JG MacKinnon, MD Webb
The Stata Journal 19 (1), 4-60, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada, Social Sciences …
Wild bootstrap inference for wildly different cluster sizes
JG MacKinnon, MD Webb
Journal of Applied Econometrics 32 (2), 233-254, 2017
Mandates: Social Sciences and Humanities Research Council, Canada
Reworking wild bootstrap‐based inference for clustered errors
MD Webb
Canadian Journal of Economics/Revue canadienne d'économique 56 (3), 839-858, 2023
Mandates: Social Sciences and Humanities Research Council, Canada
The wild bootstrap for few (treated) clusters
JG MacKinnon, MD Webb
The Econometrics Journal, 2017
Mandates: Social Sciences and Humanities Research Council, Canada
Randomization inference for difference-in-differences with few treated clusters
JG MacKinnon, MD Webb
Journal of Econometrics, 2020
Mandates: Social Sciences and Humanities Research Council, Canada
Cluster-robust inference: A guide to empirical practice
JG MacKinnon, MØ Nielsen, MD Webb
Journal of Econometrics 232 (2), 272-299, 2023
Mandates: Social Sciences and Humanities Research Council, Canada, Danish National …
Wild bootstrap and asymptotic inference with multiway clustering
JG MacKinnon, MØ Nielsen, MD Webb
Journal of Business & Economic Statistics 39 (2), 505-519, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada, Social Sciences …
Pitfalls when Estimating Treatment Effects Using Clustered Data
JG MacKinnon, MD Webb
The Political Methodologist 24 (2), 20, 2017
Mandates: Social Sciences and Humanities Research Council, Canada
Wild bootstrap randomization inference for few treated clusters
JG MacKinnon, MD Webb
The Econometrics of Complex Survey Data: Theory and Applications, ed. Kim P …, 2019
Mandates: Social Sciences and Humanities Research Council, Canada
When and How to Deal with Clustered Errors in Regression Models
JG MacKinnon, MD Webb
Economics Department, Queen's University Working Paper, 2019
Mandates: Social Sciences and Humanities Research Council, Canada
Testing for the appropriate level of clustering in linear regression models
JG MacKinnon, MØ Nielsen, MD Webb
Journal of Econometrics, 2023
Mandates: Social Sciences and Humanities Research Council, Canada, Danish National …
Fast and reliable jackknife and bootstrap methods for cluster‐robust inference
JG MacKinnon, MØ Nielsen, MD Webb
Journal of Applied Econometrics 38 (5), 671-694, 2023
Mandates: Social Sciences and Humanities Research Council, Canada, Danish National …
Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust
JG MacKinnon, MÃ Nielsen, MD Webb
Economics Department, Queen's University Working Paper, 2022
Mandates: Social Sciences and Humanities Research Council, Canada, Danish National …
Targeting Tax Relief at Youth Employment
MD Webb, A Sweetman, C Warman
Canadian Public Policy 42 (4), 415-430, 2016
Mandates: Social Sciences and Humanities Research Council, Canada
Choosing Portfolios of Rival Risky Options: Evidence That Most People Violate the No Safety Schools Theorem
DB Johnson, MD Webb
Available at SSRN 4510277, 2023
Mandates: Social Sciences and Humanities Research Council, Canada
A simple, graphical approach to comparing multiple treatments
BS Thompson, MD Webb
The Econometrics Journal 22 (2), 188-205, 2019
Mandates: Social Sciences and Humanities Research Council, Canada
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