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of 16
pro vyhledávání: '"Matthew D. Webb"'
Autor:
Matthew D. Webb
Publikováno v:
Canadian Journal of Economics/Revue canadienne d'économique.
Autor:
Derek Mikola, Matthew D. Webb
Publikováno v:
Economics of Education Review. 93:102355
Autor:
Matthew D. Webb, James G. MacKinnon
Publikováno v:
Journal of Econometrics. 218:435-450
Inference using difference-in-differences with clustered data requires care. Previous research has shown that, when there are few treated clusters, t -tests based on cluster-robust variance estimators (CRVEs) severely overreject, and different varian
Autor:
Brennan S. Thompson, Matthew D. Webb
Publikováno v:
The Econometrics Journal. 22:188-205
Summary We consider a graphical approach to comparing multiple treatments that allows users to easily infer differences between any treatment effect and zero, and between any pair of treatment effects. This approach makes use of a flexible, resamplin
Publikováno v:
MacKinnon, J G, Nielsen, M Ø & Webb, M D 2021, ' Wild Bootstrap and Asymptotic Inference With Multiway Clustering ', Journal of Business and Economic Statistics, vol. 39, no. 2, pp. 505-519 . https://doi.org/10.1080/07350015.2019.1677473
We study two cluster-robust variance estimators (CRVEs) for regression models with clustering in two dimensions and give conditions under which t-statistics based on each of them yield asymptotically valid inferences. In particular, one of the CRVEs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::675fa28f6c7597423dc2a03fb10a1863
https://pure.au.dk/portal/da/publications/wild-bootstrap-and-asymptotic-inference-with-multiway-clustering(5fd2d9b5-311f-4978-b74b-6765c0b73756).html
https://pure.au.dk/portal/da/publications/wild-bootstrap-and-asymptotic-inference-with-multiway-clustering(5fd2d9b5-311f-4978-b74b-6765c0b73756).html
Autor:
James G. MacKinnon, Matthew D. Webb
Publikováno v:
Handbook of Labor, Human Resources and Population Economics ISBN: 9783319573656
Handbook of Labor, Human Resources and Population Economics
Handbook of Labor, Human Resources and Population Economics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01d3ace7da513ba9b0c964721b447edf
https://doi.org/10.1007/978-3-319-57365-6_43-1
https://doi.org/10.1007/978-3-319-57365-6_43-1
Publikováno v:
Journal of Population Economics. 32:53-112
Immigrants in many Western countries have experienced poor economic outcomes. This has led to a lack of integration of child immigrants (the 1.5 generation) and the second generation in some countries. However, in Canada, child immigrants and the sec
Autor:
James G. MacKinnon, Matthew D. Webb
Publikováno v:
The Econometrics Journal. 21:114-135
SummaryInference based on cluster‐robust standard errors in linear regression models, using either the Student's t‐distribution or the wild cluster bootstrap, is known to fail when the number of treated clusters is very small. We propose a family
Autor:
Matthew D. Webb, Matthew M Loiacono, Nicholas Mitsakakis, Jeffrey C. Kwong, Christopher B. Nelson, Laura Lee Hall, Ayman Chit, Paul Grootendorst, Stacy Zulueta
Publikováno v:
Journal of the American Pharmacists Association. 61:539-546.e5
Background Seasonal influenza vaccine (SIV) uptake in the United States remains suboptimal, requiring new and innovative strategies. Objective To evaluate the impact of a behavioral peer comparison (PC) intervention on SIV uptake in community pharmac
Autor:
Matthew D. Webb, James G. MacKinnon
When there are few treated clusters in a pure treatment or difference-in-differences setting, t tests based on a cluster-robust variance estimator can severely over-reject. Although procedures based on the wild cluster bootstrap often work well when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4c5d76c3afad1a85f39eff63ec0014f
https://doi.org/10.1108/s0731-905320190000039003
https://doi.org/10.1108/s0731-905320190000039003