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The Stata Journal
Volume 10 Number 3: pp. 331-338

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bacon: An effective way to detect outliers in multivariate data using Stata (and Mata)

Sylvain Weber
University of Geneva
Department of Economics
Geneva, Switzerland
sylvain.weber@unige.ch
Abstract.  Identifying outliers in multivariate data is computationally intensive. The bacon command, presented in this article, allows one to quickly identify outliers, even on large datasets of tens of thousands of observations. bacon constitutes an attractive alternative to hadimvo, the only other command available in Stata for the detection of outliers.

View all articles by this author: Sylvain Weber

View all articles with these keywords: bacon, hadimvo, outliers detection, multivariate outliers

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