tkmckenzie/snfa: Smooth Non-Parametric Frontier Analysis

Fitting of non-parametric production frontiers for use in efficiency analysis. Methods are provided for both a smooth analogue of Data Envelopment Analysis (DEA) and a non-parametric analogue of Stochastic Frontier Analysis (SFA). Frontiers are constructed for multiple inputs and a single output using constrained kernel smoothing as in Racine et al. (2009), which allow for the imposition of monotonicity and concavity constraints on the estimated frontier.

Getting started

Package details

MaintainerTaylor McKenzie <[email protected]>
LicenseGPL-3
Version0.0.1.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tkmckenzie/snfa")
tkmckenzie/snfa documentation built on May 7, 2019, 4:54 p.m.