Nonparametric Frontier Estimation

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Nome: 
Prof. Dr. Flávio Ziegelmann
Instituição: 
Universidade Federal do Rio Grande do Sul
Data do Evento: 
quinta-feira, 23 de Maio de 2019 - 10:00
Sala 221
Descrição: 

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.