Adjustment costs in the technical efficiency: an application to global banking

DOI10.1016/J.EJOR.2016.06.037zbMath1395.91333OpenAlexW2464682038MaRDI QIDQ1752244

Emmanuel C. Mamatzakis, Mike G. Tsionas

Publication date: 24 May 2018

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

Full work available at URL: http://sro.sussex.ac.uk/id/eprint/62018/1/1-s2.0-S0377221716304581-main.pdf__tid%3D5d7adc82-49ce-11e6-bd95-00000aab0f6b%26acdnat%3D1468506316_5058fc1acff5d78ad45f8d5f2660376b

zbMATH Keywords

technical efficiencyadjustment costsglobal bankingnonparametric local linear maximum likelihood

Mathematics Subject Classification ID

Macroeconomic theory (monetary models, models of taxation) (91B64)

Related Items (4)

Smooth approximations to monotone concave functions in production analysis: an alternative to nonparametric concave least squares ⋮ On the estimation of total factor productivity: a novel Bayesian non-parametric approach ⋮ Estimating Malmquist productivity indexes using probabilistic directional distances: an application to the European banking sector ⋮ A novel model of costly technical efficiency

Cites Work

• Nonparametric stochastic frontiers: a local maximum likelihood approach
• Efficiency dynamics in Indian banking: a conditional directional distance approach
• Notes on technical efficiency estimation with multiple inputs and outputs
• Zero-inefficiency stochastic frontier models with varying mixing proportion: a semiparametric approach
• Estimation of production risk and risk preference function: a nonparametric approach
• Local nonlinear least squares: using parametric information in nonparametric regression
• Dynamic effects in inefficiency: evidence from the Colombian banking sector
• Imposing economic constraints in nonparametric regression: survey, implementation, and extension

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