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ROBREG: Stata module providing robust regression estimators

Ben Jann

Statistical Software Components from Boston College Department of Economics

Abstract: robreg provides a number of robust estimators for linear regression models. Among them are the high breakdown-point and high efficiency MM estimator, the Huber and bisquare M estimator, the S estimator, as well as quantile regression, each supporting robust standard errors based on influence functions. Furthermore, basic implementations of LMS/LQS (least median/quantile of squares) and LTS (least trimmed squares) are provided. An older version of this routine is available as robreg10.

Language: Stata
Requires: Stata version 11 and moremata from SSC (q.v.)
Keywords: robust regression; least-squares regression; quantile regression; MM regression; M regression; S regression; LMS; LTS; LQS; high breakdown; Huber; biweight; bisquare; influence function (search for similar items in EconPapers)
Date: 2021-04-11, Revised 2022-02-19
Note: This module should be installed from within Stata by typing "ssc install robreg". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/robreg.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/robreg.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/robreg.zip zip archive (application/zip)

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