Local exponential frontier estimation

In this paper we propose a local exponential estimator for a multiplicative nonparametric frontiermodel rst introduced by Martins-Filho & Yao (2007). We improve their estimation procedure by adoptinga variant of the local exponential smoothing introduced in Ziegelmann (2002). Our estimator is shown...

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Main Authors: Martins-Filho, Carlos, Ziegelmann, Flávio Augusto, da Silva Torrent, Hudson
Format: Journal Article
Language:Inglés
Published: Fundacao Getulio Vargas 2014
Subjects:
Online Access:https://hdl.handle.net/10568/149764
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author Martins-Filho, Carlos
Ziegelmann, Flávio Augusto
da Silva Torrent, Hudson
author_browse Martins-Filho, Carlos
Ziegelmann, Flávio Augusto
da Silva Torrent, Hudson
author_facet Martins-Filho, Carlos
Ziegelmann, Flávio Augusto
da Silva Torrent, Hudson
author_sort Martins-Filho, Carlos
collection Repository of Agricultural Research Outputs (CGSpace)
description In this paper we propose a local exponential estimator for a multiplicative nonparametric frontiermodel rst introduced by Martins-Filho & Yao (2007). We improve their estimation procedure by adoptinga variant of the local exponential smoothing introduced in Ziegelmann (2002). Our estimator is shown to beconsistent and asymptotically normal under mild regularity conditions. In addition, due to local exponentialsmoothing, potential negativity of conditional variance functions that may hinder the use of Martins-Filhoand Yao's estimator is avoided. A Monte Carlo study is performed to shed light on the nite sample proper-ties of the estimator and to contrast its performance with that of the estimator proposed in Martins-Filho &Yao (2007). We also conduct an empirical exercise in which a production function and associated ecienciesfor branches of nancial institutions in the United States are estimated.
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spelling CGSpace1497642024-10-25T07:53:07Z Local exponential frontier estimation Martins-Filho, Carlos Ziegelmann, Flávio Augusto da Silva Torrent, Hudson regression analysis parametric programming In this paper we propose a local exponential estimator for a multiplicative nonparametric frontiermodel rst introduced by Martins-Filho & Yao (2007). We improve their estimation procedure by adoptinga variant of the local exponential smoothing introduced in Ziegelmann (2002). Our estimator is shown to beconsistent and asymptotically normal under mild regularity conditions. In addition, due to local exponentialsmoothing, potential negativity of conditional variance functions that may hinder the use of Martins-Filhoand Yao's estimator is avoided. A Monte Carlo study is performed to shed light on the nite sample proper-ties of the estimator and to contrast its performance with that of the estimator proposed in Martins-Filho &Yao (2007). We also conduct an empirical exercise in which a production function and associated ecienciesfor branches of nancial institutions in the United States are estimated. 2014 2024-08-01T02:49:54Z 2024-08-01T02:49:54Z Journal Article https://hdl.handle.net/10568/149764 en Limited Access Fundacao Getulio Vargas Martins-Filho, Carlos; Ziegelmann, Flávio Augusto; and da Silva Torrent, Hudson. 2014. Local exponential frontier estimation. Brazilian Review of Econometrics 33(2): 171-216. https://doi.org/10.12660/bre.v33n22013.26508
spellingShingle regression analysis
parametric programming
Martins-Filho, Carlos
Ziegelmann, Flávio Augusto
da Silva Torrent, Hudson
Local exponential frontier estimation
title Local exponential frontier estimation
title_full Local exponential frontier estimation
title_fullStr Local exponential frontier estimation
title_full_unstemmed Local exponential frontier estimation
title_short Local exponential frontier estimation
title_sort local exponential frontier estimation
topic regression analysis
parametric programming
url https://hdl.handle.net/10568/149764
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AT ziegelmannflavioaugusto localexponentialfrontierestimation
AT dasilvatorrenthudson localexponentialfrontierestimation