Consistent estimation of technical and allocative efficiencies for a semiparametric Stochastic Cost Frontier with Shadow Input Prices

博士 === 國立政治大學 === 金融研究所 === 98 === Conventional parametric stochastic cost frontier models are likely to suffer from biased inferences due to misspecification and the ignorance of allocative efficiency (AE). To fill up the gap in the literature, this article proposes a semiparametric stochastic cost...

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Main Authors: Chen, Kuan Chen, 陳冠臻
Other Authors: Huang, Tai Hsin
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/11797230483799727830
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spelling ndltd-TW-098NCCU52140252015-10-13T18:20:41Z http://ndltd.ncl.edu.tw/handle/11797230483799727830 Consistent estimation of technical and allocative efficiencies for a semiparametric Stochastic Cost Frontier with Shadow Input Prices 探討半參數隨機邊界模型的技術與配置效率之一致性估計方法 Chen, Kuan Chen 陳冠臻 博士 國立政治大學 金融研究所 98 Conventional parametric stochastic cost frontier models are likely to suffer from biased inferences due to misspecification and the ignorance of allocative efficiency (AE). To fill up the gap in the literature, this article proposes a semiparametric stochastic cost frontier with shadow input prices that combines a parametric portion with a nonparametric portion and that allows for the presence of both technical efficiency (TE) and AE. The introduction of AE and the nonparametric function into the cost function complicates substantially the estimation procedure. We develop a new estimation procedure that leads to consistent estimators and valid TE and AE measures, which are proved by conducting Monte Carlo simulations. An empirical study using unbalanced panel data on 340 commercial banks from 14 East European countries over the period 1993-2004 is performed to help shed some light on the usefulness of our procedure. Huang, Tai Hsin 黃台心 2010 學位論文 ; thesis 77 en_US
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description 博士 === 國立政治大學 === 金融研究所 === 98 === Conventional parametric stochastic cost frontier models are likely to suffer from biased inferences due to misspecification and the ignorance of allocative efficiency (AE). To fill up the gap in the literature, this article proposes a semiparametric stochastic cost frontier with shadow input prices that combines a parametric portion with a nonparametric portion and that allows for the presence of both technical efficiency (TE) and AE. The introduction of AE and the nonparametric function into the cost function complicates substantially the estimation procedure. We develop a new estimation procedure that leads to consistent estimators and valid TE and AE measures, which are proved by conducting Monte Carlo simulations. An empirical study using unbalanced panel data on 340 commercial banks from 14 East European countries over the period 1993-2004 is performed to help shed some light on the usefulness of our procedure.
author2 Huang, Tai Hsin
author_facet Huang, Tai Hsin
Chen, Kuan Chen
陳冠臻
author Chen, Kuan Chen
陳冠臻
spellingShingle Chen, Kuan Chen
陳冠臻
Consistent estimation of technical and allocative efficiencies for a semiparametric Stochastic Cost Frontier with Shadow Input Prices
author_sort Chen, Kuan Chen
title Consistent estimation of technical and allocative efficiencies for a semiparametric Stochastic Cost Frontier with Shadow Input Prices
title_short Consistent estimation of technical and allocative efficiencies for a semiparametric Stochastic Cost Frontier with Shadow Input Prices
title_full Consistent estimation of technical and allocative efficiencies for a semiparametric Stochastic Cost Frontier with Shadow Input Prices
title_fullStr Consistent estimation of technical and allocative efficiencies for a semiparametric Stochastic Cost Frontier with Shadow Input Prices
title_full_unstemmed Consistent estimation of technical and allocative efficiencies for a semiparametric Stochastic Cost Frontier with Shadow Input Prices
title_sort consistent estimation of technical and allocative efficiencies for a semiparametric stochastic cost frontier with shadow input prices
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/11797230483799727830
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