https://www.econstor.eu/handle/10419/188911
EconStor: Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
asymptotic theorywild bootstrapeconstorinferenceerrors
https://ideas.repec.org/p/qed/wpaper/1399.html
Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors
Downloadable! We study asymptotic inference based on cluster-robust variance estimators for regression models with clustered errors, focusing on the wild...
asymptotic theorywild bootstrapinferenceerrors
https://ideas.repec.org/a/eee/econom/v146y2008i1p162-169.html
The wild bootstrap, tamed at last
Downloadable (with restrictions)! The wild bootstrap is studied in the context of regression models with heteroskedastic disturbances. We show that, in one...
the wildbootstraptamedlast
https://www.econstor.eu/handle/10419/97480
EconStor: Reworking Wild Bootstrap Based Inference for Clustered Errors
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
wild bootstrapeconstorreworkingbasedinference
https://deepai.org/publication/wild-bootstrap-based-confidence-bands-for-multiplicative-hazards-models
Wild Bootstrap based Confidence Bands for Multiplicative Hazards Models | DeepAI
Aug 1, 2018 - 08/01/18 - We propose new resampling-based approaches to construct asymptotically valid time simultaneous confidence bands for cumulative haz...
wild bootstrapbasedconfidencebandsmultiplicative