A Hausman-Taylor instrumental variable approach to the penalized estimation of quantile panel models

This paper proposes an ℓ1 penalized quantile regression estimator which adapts the Hausman-Taylor instrumental variable approach in order to address the bias resulting from the shrinkage of the individual effects.