Smooth Non-Parametric Frontier Analysis
Allocative efficiency estimation
Multivariate smooth boundary fitting with additional constraints
Kernel smoothing with additional constraints
Non-parametric stochastic frontier
Bandwidth matrix selection
Data reflection for kernel smoothing
Technical and efficiency change estimation
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.