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
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Working Papers
2020
- Testing for the appropriate level of clustering in linear regression models
Working Paper, Economics Department, Queen's University
- When and How to Deal with Clustered Errors in Regression Models
Working Paper, Economics Department, Queen's University View citations (1)
- 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
- Finish It and It’s Free: An Evaluation of College Graduation Subsidies
Carleton Economic Papers, Carleton University, Department of Economics
- 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
- 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)
- 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)
- Wild Bootstrap Randomization Inference For Few Treated Clusters
Working Paper, Economics Department, Queen's University View citations (39)
See also Chapter (2019)
2017
- 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)
- An Experimental Test of the No Safety Schools Theorem
Carleton Economic Papers, Carleton University, Department of Economics
- Bootstrap And Asymptotic Inference With Multiway Clustering
Working Paper, Economics Department, Queen's University View citations (9)
- Pitfalls When Estimating Treatment Effects Using Clustered Data
Working Paper, Economics Department, Queen's University View citations (12)
- 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)
- The multiway cluster wild bootstrap
Canadian Stata Users' Group Meetings 2017, Stata Users Group
2016
- Decision Making with Risky, Rival Outcomes: Theory and Evidence
Carleton Economic Papers, Carleton University, Department of Economics View citations (3)
- 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)
- Targeting Tax Relief at Youth Employment
IZA Discussion Papers, Institute of Labor Economics (IZA) 
See also Journal Article in Canadian Public Policy (2016)
- The Subcluster Wild Bootstrap for Few (Treated) Clusters
Carleton Economic Papers, Carleton University, Department of Economics
2015
- 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)
- 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
- How Targeted Is Targeted Tax Relief? Evidence From The Unemployment Insurance Youth Hires Program
Working Paper, Economics Department, Queen's University View citations (1)
- Reworking Wild Bootstrap Based Inference For Clustered Errors
Working Paper, Economics Department, Queen's University View citations (62)
Journal Articles
2020
- 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
- A simple, graphical approach to comparing multiple treatments
Econometrics Journal, 2019, 22, (2), 188-205 
See also Working Paper (2017)
- Fast and wild: Bootstrap inference in Stata using boottest
Stata Journal, 2019, 19, (1), 4-60 View citations (100)
See also Working Paper (2018)
- 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
- The wild bootstrap for few (treated) clusters
Econometrics Journal, 2018, 21, (2), 114-135 View citations (39)
See also Working Paper (2017)
2017
- 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
- Targeting Tax Relief at Youth Employment
Canadian Public Policy, 2016, 42, (4), 415-430 
See also Working Paper (2016)
Chapters
2019
- 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)
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