Details about Matthew D Webb

Access statistics for papers by Matthew D Webb.

Last updated 2025-01-06. Update your information in the RePEc Author Service.

Short-id: pwe297

Working Papers

2024

1. Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models
   Working Paper, Economics Department, Queen's University
   Also in Papers, arXiv.org (2024)
2. Difference-in-Differences with Unpoolable Data
   Papers, arXiv.org
   Also in Canadian Stata Conference 2023, Stata Users Group (2023)
3. Good Controls Gone Bad: Difference-in-Differences with Covariates
   Papers, arXiv.org
4. Jackknife Inference with Two-Way Clustering
   Working Paper, Economics Department, Queen's University
   Also in Papers, arXiv.org (2024)
5. The Many Misspellings of Albuquerque: A Comment on 'Sorting or Steering: The Effects of Housing Discrimination on Neighborhood Choice'
   I4R Discussion Paper Series, The Institute for Replication (I4R)
6. Using Images as Covariates: Measuring Curb Appeal with Deep Learning
   Papers, arXiv.org

2023

7. Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference
   Papers, arXiv.org View citations (6)
   Also in Working Paper, Economics Department, Queen's University (2022) View citations (5)
   See also Journal Article Fast and reliable jackknife and bootstrap methods for cluster‐robust inference, Journal of Applied Econometrics, John Wiley & Sons, Ltd. (2023) View citations (3) (2023)
8. Jackknife methods for improved cluster–robust inference
   Canadian Stata Conference 2023, Stata Users Group
9. Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust
   Papers, arXiv.org View citations (7)
   Also in Working Paper, Economics Department, Queen's University (2022) View citations (8)
   See also Journal Article Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust, Stata Journal, StataCorp LLC (2023) View citations (3) (2023)
10. Testing for the appropriate level of clustering in linear regression models
    Papers, arXiv.org View citations (2)
    Also in Working Paper, Economics Department, Queen's University (2022) View citations (6)
    See also Journal Article Testing for the appropriate level of clustering in linear regression models, Journal of Econometrics, Elsevier (2023) View citations (1) (2023)

2022

11. Cluster-Robust Inference: A Guide to Empirical Practice
    Working Paper, Economics Department, Queen's University View citations (24)
    Also in Economics Virtual Symposium 2021, Stata Users Group (2021) View citations (2)
    Papers, arXiv.org (2022) View citations (19)
    See also Journal Article Cluster-robust inference: A guide to empirical practice, Journal of Econometrics, Elsevier (2023) View citations (53) (2023)

2020

12. When and How to Deal with Clustered Errors in Regression Models
    Working Paper, Economics Department, Queen's University View citations (8)
13. Wild Bootstrap and Asymptotic Inference with Multiway Clustering
    CREATES Research Papers, Department of Economics and Business Economics, Aarhus University View citations (4)
    Also in Working Paper, Economics Department, Queen's University (2019) View citations (31)
    See also Journal Article Wild Bootstrap and Asymptotic Inference With Multiway Clustering, Journal of Business & Economic Statistics, Taylor & Francis Journals (2021) View citations (33) (2021)

2019

14. Finish It and It’s Free: An Evaluation of College Graduation Subsidies
    Carleton Economic Papers, Carleton University, Department of Economics
    See also Journal Article Finish it and it is free: An evaluation of college graduation subsidies, Economics of Education Review, Elsevier (2023) (2023)
15. Randomization Inference For Difference-in-differences With Few Treated Clusters
    Working Paper, Economics Department, Queen's University View citations (18)
    Also in Carleton Economic Papers, Carleton University, Department of Economics (2016) View citations (15)
    See also Journal Article Randomization inference for difference-in-differences with few treated clusters, Journal of Econometrics, Elsevier (2020) View citations (56) (2020)

2018

16. Fast And Wild: Bootstrap Inference In Stata Using Boottest
    Working Paper, Economics Department, Queen's University View citations (57)
    Also in CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2018) View citations (55)
    See also Journal Article Fast and wild: Bootstrap inference in Stata using boottest, Stata Journal, StataCorp LLC (2019) View citations (458) (2019)
17. Immigrant Category of Admission and the Earnings of Adults and Children: How far does the Apple Fall?
    GLO Discussion Paper Series, Global Labor Organization (GLO)
    See also Journal Article Immigrant category of admission and the earnings of adults and children: how far does the apple fall?, Journal of Population Economics, Springer (2019) View citations (8) (2019)
18. Wild Bootstrap Randomization Inference For Few Treated Clusters
    Working Paper, Economics Department, Queen's University View citations (121)
    See also Chapter Wild Bootstrap Randomization Inference for Few Treated Clusters, Advances in Econometrics, Emerald Group Publishing Limited (2019) View citations (4) (2019)

2017

19. A Simple, Graphical Approach to Comparing Multiple Treatments
    Working Papers, Toronto Metropolitan University, Department of Economics
    Also in Canadian Stata Users' Group Meetings 2017, Stata Users Group (2017)
    See also Journal Article A simple, graphical approach to comparing multiple treatments, The Econometrics Journal, Royal Economic Society (2019) View citations (1) (2019)
20. An Experimental Test of the No Safety Schools Theorem
    Carleton Economic Papers, Carleton University, Department of Economics
21. Bootstrap And Asymptotic Inference With Multiway Clustering
    Working Paper, Economics Department, Queen's University View citations (12)
22. Pitfalls When Estimating Treatment Effects Using Clustered Data
    Working Paper, Economics Department, Queen's University View citations (25)
23. The Wild Bootstrap For Few (treated) Clusters
    Working Paper, Economics Department, Queen's University View citations (9)
    See also Journal Article The wild bootstrap for few (treated) clusters, Econometrics Journal, Royal Economic Society (2018) View citations (131) (2018)
24. The multiway cluster wild bootstrap
    Canadian Stata Users' Group Meetings 2017, Stata Users Group

2016

25. Decision Making with Risky, Rival Outcomes: Theory and Evidence
    Carleton Economic Papers, Carleton University, Department of Economics View citations (3)
26. Immigrant Category of Admission of the Parents and Outcomes of the Children: How far does the Apple Fall?
    RF Berlin - CReAM Discussion Paper Series, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM) View citations (1)
27. Targeting Tax Relief at Youth Employment
    IZA Discussion Papers, Institute of Labor Economics (IZA) View citations (10)
    See also Journal Article Targeting Tax Relief at Youth Employment, Canadian Public Policy, University of Toronto Press (2016) View citations (10) (2016)
28. The Subcluster Wild Bootstrap for Few (Treated) Clusters
    Carleton Economic Papers, Carleton University, Department of Economics View citations (1)

2015

29. One Sided Matching: Choice Selection With Rival Uncertain Outcomes
    Working Papers, Department of Economics, University of Calgary
    Also in Working Papers, Department of Economics, University of Calgary (2015)
30. Wild Bootstrap Inference For Wildly Different Cluster Sizes
    Working Paper, Economics Department, Queen's University View citations (35)
    See also Journal Article Wild Bootstrap Inference for Wildly Different Cluster Sizes, Journal of Applied Econometrics, John Wiley & Sons, Ltd. (2017) View citations (174) (2017)

2014

31. How Targeted Is Targeted Tax Relief? Evidence From The Unemployment Insurance Youth Hires Program
    Working Paper, Economics Department, Queen's University View citations (1)
32. Reworking Wild Bootstrap Based Inference For Clustered Errors
    Working Paper, Economics Department, Queen's University View citations (107)
    See also Journal Article Reworking wild bootstrap‐based inference for clustered errors, Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons (2023) View citations (4) (2023)

Journal Articles

2023

1. Cluster-robust inference: A guide to empirical practice
   Journal of Econometrics, 2023, 232, (2), 272-299 View citations (53)
   See also Working Paper Cluster-Robust Inference: A Guide to Empirical Practice, Working Paper (2022) View citations (24) (2022)
2. Fast and reliable jackknife and bootstrap methods for cluster‐robust inference
   Journal of Applied Econometrics, 2023, 38, (5), 671-694 View citations (3)
   See also Working Paper Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference, Papers (2023) View citations (6) (2023)
3. Finish it and it is free: An evaluation of college graduation subsidies
   Economics of Education Review, 2023, 93, (C)
   See also Working Paper Finish It and It’s Free: An Evaluation of College Graduation Subsidies, Carleton Economic Papers (2019) (2019)
4. Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust
   Stata Journal, 2023, 23, (4), 942-982 View citations (3)
   See also Working Paper Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust, Papers (2023) View citations (7) (2023)
5. Reworking wild bootstrap‐based inference for clustered errors
   Canadian Journal of Economics/Revue canadienne d'économique, 2023, 56, (3), 839-858 View citations (4)
   See also Working Paper Reworking Wild Bootstrap Based Inference For Clustered Errors, Working Paper (2014) View citations (107) (2014)
6. Testing for the appropriate level of clustering in linear regression models
   Journal of Econometrics, 2023, 235, (2), 2027-2056 View citations (1)
   See also Working Paper Testing for the appropriate level of clustering in linear regression models, Papers (2023) View citations (2) (2023)

2021

7. Wild Bootstrap and Asymptotic Inference With Multiway Clustering
   Journal of Business & Economic Statistics, 2021, 39, (2), 505-519 View citations (33)
   See also Working Paper Wild Bootstrap and Asymptotic Inference with Multiway Clustering, CREATES Research Papers (2020) View citations (4) (2020)

2020

8. Randomization inference for difference-in-differences with few treated clusters
   Journal of Econometrics, 2020, 218, (2), 435-450 View citations (56)
   See also Working Paper Randomization Inference For Difference-in-differences With Few Treated Clusters, Working Paper (2019) View citations (18) (2019)

2019

9. A simple, graphical approach to comparing multiple treatments
   The Econometrics Journal, 2019, 22, (2), 188-205 View citations (1)
   See also Working Paper A Simple, Graphical Approach to Comparing Multiple Treatments, Working Papers (2017) (2017)
10. Fast and wild: Bootstrap inference in Stata using boottest
    Stata Journal, 2019, 19, (1), 4-60 View citations (458)
    See also Working Paper Fast And Wild: Bootstrap Inference In Stata Using Boottest, Working Paper (2018) View citations (57) (2018)
11. Immigrant category of admission and the earnings of adults and children: how far does the apple fall?
    Journal of Population Economics, 2019, 32, (1), 53-112 View citations (8)
    See also Working Paper Immigrant Category of Admission and the Earnings of Adults and Children: How far does the Apple Fall?, GLO Discussion Paper Series (2018) (2018)

2018

12. The wild bootstrap for few (treated) clusters
    Econometrics Journal, 2018, 21, (2), 114-135 View citations (131)
    See also Working Paper The Wild Bootstrap For Few (treated) Clusters, Working Paper (2017) View citations (9) (2017)

2017

13. Wild Bootstrap Inference for Wildly Different Cluster Sizes
    Journal of Applied Econometrics, 2017, 32, (2), 233-254 View citations (174)
    See also Working Paper Wild Bootstrap Inference For Wildly Different Cluster Sizes, Working Paper (2015) View citations (35) (2015)

2016

14. Targeting Tax Relief at Youth Employment
    Canadian Public Policy, 2016, 42, (4), 415-430 View citations (10)
    See also Working Paper Targeting Tax Relief at Youth Employment, IZA Discussion Papers (2016) View citations (10) (2016)

Chapters

2019

1. Wild Bootstrap Randomization Inference for Few Treated Clusters
   A chapter in The Econometrics of Complex Survey Data, 2019, vol. 39, pp 61-85 View citations (4)
   See also Working Paper Wild Bootstrap Randomization Inference For Few Treated Clusters, Economics Department, Queen's University (2018) View citations (121) (2018)

Software Items

2024

1. LOGITJACK: Stata module to provide cluster robust inference for logit models
   Statistical Software Components, Boston College Department of Economics

2023

2. SUMMCLUST: Stata module to compute cluster level measures of leverage, influence, and a cluster jackknife variance estimator
   Statistical Software Components, Boston College Department of Economics