Resumo: In this paper we analyze a nonparametric model for estimating production frontiers with multi-dimensional
inputs, with some advantages over traditional frontier estimators as Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH).
In comparison to Martins-Filho and Yao (2007) approach, our method is simpler, more general and requires less restrictive
assumptions. We also show consistency and asymptotic distributional theory of our proposed estimator under standard assumptions
in the multi-dimensional input setting. The finite-sample performance of our proposed estimator is illustrated in a simulation study
where we compare it with Martins-Filho and Yao´s, DEA and FDH.