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Interpreted as:

title:(A AND Monte AND Carlo AND Study AND on AND Multiple AND Output AND Stochastic AND Frontiers\: AND Comparison AND of AND Two AND Approaches)

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1 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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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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