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A comparison of stochastic frontier approaches for estimating technical inefficiency and total factor productivity

机译：评估技术效率和全要素生产率的随机前沿方法的比较

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This article compares standard stochastic frontier models for panel data with a number of recently developed models which attempt to control for unobserved heterogeneity in the inefficiency component. Results are used to construct a generalized Malmquist Total Factor Productivity (TFP) index for the Irish tillage sector. While our application yields similar general TFP trends across models, it is evident that this new class of model leads to fewer theoretical inconsistencies in the production frontier. Furthermore, inefficiency estimates across models are critically compared and the potential benefits of controlling for unobserved heterogeneity are highlighted.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00036841003761918
机译：本文将面板数据的标准随机前沿模型与许多最近开发的模型进行了比较，这些模型试图控制效率低下组件中未观察到的异质性。结果用于构建爱尔兰耕作部门的广义Malmquist全要素生产率（TFP）指数。尽管我们的应用在各个模型之间产生了相似的总体TFP趋势，但显然，这种新型模型导致了生产前沿中较少的理论不一致。此外，我们会严格比较各个模型之间的效率低估，并着重强调了控制未观察到的异构性的潜在好处。查看全文下载全文Delicious，linkedin，facebook，stumbleupon，digg，google，更多”，发布号：“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/00036841003761918

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