M-quantile models for small area estimation

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High-dimensional generalizations of asymmetric least squares regression and their applications (2016, unknown): “Applications of the ALS regression include estimation of the value at risk and expected shortfall [Kuan, Yeh and Hsu (2009), Taylor (2008)], medical baseline correction [Eilers and Boelens (2005)], and small area estimation [Chambers and Tzavidis (2006), Salvati et al. (2012)] among others.”
Robust small area estimation (2009, background): “Chambers & Tzavidis (2006) proposed a robustM-quantile approach to small area estimation that is based on quantile regressionwithout specifying random effects to explain the between small area variation, unlike the linear mixed model (4) studied in our article.”