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Stochastic frontier analysis using SFAMB for Ox
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نویسنده
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holtkamp j. ,brümmer b.
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منبع
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journal of statistical software - 2017 - دوره : 81 - شماره : 0
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چکیده
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Sfamb is a flexible econometric tool designed for the estimation of stochastic frontier models. ox is a matrix language used in different modules,with a console version freely available to academic users. this article provides a brief introduction to the field of stochastic frontier analysis,with examples of code (input and output) as well as a technical documentation of member functions. sfamb provides frontier models for both crosssectional data and panel data (focusing on fixed effects models). member functions can be extended depending on the needs of the user. © 2017,american statistical association. all rights reserved.
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کلیدواژه
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Ox; Panel data; Stochastic frontier analysis
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آدرس
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department of agricultural economics and rural development,university of goettingen,goettingen,d-37073, Germany, department of agricultural economics and rural development,centre of biodiversity and sustainable land use,university of goettingen,goettingen,d-37073, Germany
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Authors
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