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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
Browse package contents
Package details |
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| Author | Taylor McKenzie [aut, cre] |
| Maintainer | Taylor McKenzie <tkmckenzie@gmail.com> |
| License | GPL-3 |
| Version | 0.0.1 |
| Package repository | View on CRAN |
| Installation |
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