Robust Regression in Stata

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Influential Observations and Inference in Accounting Research (2019, methodology): “…are widely used and combine a high breakdown point with high efficiency (MM-estimation has up to 95% efficiency relative to reviews of robust methods in Andersen (2008); Maronna, Martin and Yohai (2006); and, Fox and Weisberg (2010) (see also, Chen (2002), and Verardi and Croux (2009)).”
Cross-Country Heterogeneity in Intertemporal Substitution (2015, methodology): “Moreover, the results are also similar when we include all estimates of the EIS and employ the robust estimator developed by Verardi & Croux (2009) for the frequentist check.”
The Impact of Procedurally-Just Policing on Citizen Perceptions of Police During Traffic Stops: The Adana Randomized Controlled Trial (2016, unknown): “The ﬁrst row is a robust regression model, which is an iterative procedure intended to limit the inﬂuence of outliers on inference by down-weighting problematic observations and performing weighted least squares (see Andersen 2008; Verardi and Croux 2009).”