Globally flexible functional forms: the neural distance function

DOI10.1016/j.ejor.2010.02.013zbMath1188.91169OpenAlexW2024174663MaRDI QIDQ976336

Angelos T. Vouldis, Efthymios G. Tsionas, Panayotis G. Michaelides

Publication date: 11 June 2010

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2010.02.013

zbMATH Keywords

translogtechnical efficiencyLIMLoutput distance functionANN

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; economic indices and measures (91B82)

Related Items (5)

Smooth approximations to monotone concave functions in production analysis: an alternative to nonparametric concave least squares ⋮ Bounded rationality and thick frontiers in stochastic frontier analysis ⋮ On a high-dimensional model representation method based on copulas ⋮ Supply chains and fake news: a novel input-output neural network approach for the us food sector ⋮ Combining data envelopment analysis and stochastic frontiers via a LASSO prior

Uses Software

• bootstrap

Cites Work

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