Panel data, frequently employed in empirical investigations, provide estimators being strongly biased in the presence of atypical observations. The aim of this work is to propose a ℓ 1 Gini regression for panel data. It is shown that the fixed effects within-group Gini estimator is more robust than the ordinary least squares one when the data are contaminated by outliers. This semi-parametric Gini estimator is proven to be an U-statistics, consequently, it is asymptotically normal.