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Estimation and inference in nonparametric frontier models: Recent developments and perspectives
Nonparametric estimators are widely used to estimate the productive efficiency of firms and
other organizations, but often without any attempt to make statistical inference. Recent work …
other organizations, but often without any attempt to make statistical inference. Recent work …
Statistical approaches for non‐parametric frontier models: a guided tour
A rich theory of production and analysis of productive efficiency has developed since the
pioneering work by Tjalling C. Koopmans and Gerard Debreu. Michael J. Farrell published …
pioneering work by Tjalling C. Koopmans and Gerard Debreu. Michael J. Farrell published …
Probabilistic characterization of directional distances and their robust versionsFree GPT-4 DeepSeek
In this work, we analyze the performance of production units using the directional distance
function which allows to measure the distance to the frontier of the production set along any …
function which allows to measure the distance to the frontier of the production set along any …
Measurement of eco-efficiency and convergence: Evidence from a non-parametric frontier analysis
This study applies a nonparametric model to estimate the eco-efficiency across the US
states over the period 1990–2017. To capture the environmental damage caused by …
states over the period 1990–2017. To capture the environmental damage caused by …
Robustness and inference in nonparametric partial frontier modeling
A major aim in recent nonparametric frontier modeling is to estimate a partial frontier well
inside the sample of production units but near the optimal boundary. Two concepts of partial …
inside the sample of production units but near the optimal boundary. Two concepts of partial …
Data envelope fitting with constrained polynomial splines
Estimation of support frontiers and boundaries often involves monotone and/or concave
edge data smoothing. This estimation problem arises in various unrelated contexts, such as …
edge data smoothing. This estimation problem arises in various unrelated contexts, such as …
Social capital and bank performance: An international comparison for OECD countries
Over the last few years the literature on social capital and bank efficiency analysis has
expanded rapidly. We merge them by analysing how social capital affects bank efficiency in …
expanded rapidly. We merge them by analysing how social capital affects bank efficiency in …
Bootstrap** profit change: An application to Spanish banks
The aim of this study is to provide a tool which enables us to conduct statistical analysis in
the context of changes in productivity and profit. We build on previous initiatives to …
the context of changes in productivity and profit. We build on previous initiatives to …
npbr: a package for nonparametric boundary regression in R
The package npbr is the first free specialized software for data edge and frontier analysis in
the statistical literature. It provides a variety of functions for the best known and most …
the statistical literature. It provides a variety of functions for the best known and most …
Estimating frontier cost models using extremiles
In the econometric literature on the estimation of production technologies, there has been
considerable interest in estimating so called cost frontier models that relate closely to …
considerable interest in estimating so called cost frontier models that relate closely to …