Details about Matthew D Webb

Access statistics for papers by Matthew D Webb.

Last updated 2020-10-27. Update your information in the RePEc Author Service.

Short-id: pwe297

Working Papers

2020

1. Testing for the appropriate level of clustering in linear regression models
   Working Paper, Economics Department, Queen's University
2. When and How to Deal with Clustered Errors in Regression Models
   Working Paper, Economics Department, Queen's University View citations (1)
3. Wild Bootstrap and Asymptotic Inference with Multiway Clustering
   CREATES Research Papers, Department of Economics and Business Economics, Aarhus University View citations (2)
   Also in Working Paper, Economics Department, Queen's University (2019) View citations (6)

2019

4. Finish It and It’s Free: An Evaluation of College Graduation Subsidies
   Carleton Economic Papers, Carleton University, Department of Economics
5. Randomization Inference For Difference-in-differences With Few Treated Clusters
   Working Paper, Economics Department, Queen's University View citations (12)
   Also in Carleton Economic Papers, Carleton University, Department of Economics (2016) View citations (6)
   See also Journal Article in Journal of Econometrics (2020)

2018

6. Fast And Wild: Bootstrap Inference In Stata Using Boottest
   Working Paper, Economics Department, Queen's University View citations (33)
   Also in CREATES Research Papers, Department of Economics and Business Economics, Aarhus University (2018) View citations (25)
   See also Journal Article in Stata Journal (2019)
7. 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 in Journal of Population Economics (2019)
8. Wild Bootstrap Randomization Inference For Few Treated Clusters
   Working Paper, Economics Department, Queen's University View citations (39)
   See also Chapter (2019)

2017

9. A Simple, Graphical Approach to Comparing Multiple Treatments
   Working Papers, Ryerson University, Department of Economics
   Also in Canadian Stata Users' Group Meetings 2017, Stata Users Group (2017)
   See also Journal Article in Econometrics Journal (2019)
10. An Experimental Test of the No Safety Schools Theorem
    Carleton Economic Papers, Carleton University, Department of Economics
11. Bootstrap And Asymptotic Inference With Multiway Clustering
    Working Paper, Economics Department, Queen's University View citations (9)
12. Pitfalls When Estimating Treatment Effects Using Clustered Data
    Working Paper, Economics Department, Queen's University View citations (12)
13. The Wild Bootstrap For Few (treated) Clusters
    Working Paper, Economics Department, Queen's University View citations (7)
    See also Journal Article in Econometrics Journal (2018)
14. The multiway cluster wild bootstrap
    Canadian Stata Users' Group Meetings 2017, Stata Users Group

2016

15. Decision Making with Risky, Rival Outcomes: Theory and Evidence
    Carleton Economic Papers, Carleton University, Department of Economics View citations (3)
16. Immigrant Category of Admission of the Parents and Outcomes of the Children: How far does the Apple Fall?
    CReAM Discussion Paper Series, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London View citations (1)
17. Targeting Tax Relief at Youth Employment
    IZA Discussion Papers, Institute of Labor Economics (IZA)
    See also Journal Article in Canadian Public Policy (2016)
18. The Subcluster Wild Bootstrap for Few (Treated) Clusters
    Carleton Economic Papers, Carleton University, Department of Economics

2015

19. 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)
20. Wild Bootstrap Inference For Wildly Different Cluster Sizes
    Working Paper, Economics Department, Queen's University View citations (36)
    See also Journal Article in Journal of Applied Econometrics (2017)

2014

21. How Targeted Is Targeted Tax Relief? Evidence From The Unemployment Insurance Youth Hires Program
    Working Paper, Economics Department, Queen's University View citations (1)
22. Reworking Wild Bootstrap Based Inference For Clustered Errors
    Working Paper, Economics Department, Queen's University View citations (62)

Journal Articles

2020

1. Randomization inference for difference-in-differences with few treated clusters
   Journal of Econometrics, 2020, 218, (2), 435-450 View citations (1)
   See also Working Paper (2019)

2019

2. A simple, graphical approach to comparing multiple treatments
   Econometrics Journal, 2019, 22, (2), 188-205
   See also Working Paper (2017)
3. Fast and wild: Bootstrap inference in Stata using boottest
   Stata Journal, 2019, 19, (1), 4-60 View citations (100)
   See also Working Paper (2018)
4. 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 (3)
   See also Working Paper (2018)

2018

5. The wild bootstrap for few (treated) clusters
   Econometrics Journal, 2018, 21, (2), 114-135 View citations (39)
   See also Working Paper (2017)

2017

6. Wild Bootstrap Inference for Wildly Different Cluster Sizes
   Journal of Applied Econometrics, 2017, 32, (2), 233-254 View citations (71)
   See also Working Paper (2015)

2016

7. Targeting Tax Relief at Youth Employment
   Canadian Public Policy, 2016, 42, (4), 415-430
   See also Working Paper (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
   See also Working Paper (2018)