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Interpreted as:

title:(Multiple AND Output AND Stochastic AND Frontiers\: AND Two AND Approaches)

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Advanced
1 Conference paper

Multiple Output Stochastic Frontiers: Two Approaches

Henningsen, Geraldine

Book of Abstracts — 2012

Year: 2012

Language: English

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2 Report

A Monte Carlo Study on Multiple Output Stochastic Frontiers: a comparison of two approaches

, dividing all other output quantities by the selected output quantity, and using these ratios as regressors (OD). Another approach is the stochastic ray production frontier (SR) which transforms the output quantities into their Euclidean distance as the dependent variable and their polar coordinates

Year: 2013

Language: English

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3 Journal article

A Monte Carlo study on multiple output stochastic frontiers: a comparison of two approaches

, dividing all other output quantities by the selected output quantity, and using these ratios as regressors (OD). Another approach is the stochastic ray production frontier (SR), which transforms the output quantities into their Euclidean distance as the dependent variable and their polar coordinates

Year: 2015

Language: English

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4 Journal article

A Monte Carlo study on multiple output stochastic frontiers: a comparison of two approaches

In the estimation of multiple output technologies in a primal approach, the mainquestion is how to handle the multiple outputs. Often, an output distance function is used,where the classical approach is to exploit its homogeneity property by selecting one outputquantity as the dependent variable

Year: 2015

Language: English

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5 Report

A Monte Carlo Study on Multiple Output Stochastic Frontiers: Comparison of Two Approaches

, dividing all other output quantities by the selected output quantity, and using these ratios as regressors (OD). Another approach is the stochastic ray production frontier (SR) which transforms the output quantities into their Euclidean distance as the dependent variable and their polar coordinates

Year: 2013

Language: English

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