Discussion Papers,
Norwegian School of Economics, Department of Business and Management Science

Abstract: In a recent paper Johnson and Kuosmanen (2011) propose a new, semi-parametric, general cost-frontier model, the stochastic nonparametric envelopment of data (StoNED). The model is semi-parametric in the sense that the cost function is estimated nonparametrically, while the functional form of the distribution for the error term is parametrically specified. A common assumption for this distribution is that it is a convolution of a truncated normal distribution, representing inefficiency, and a normal distribution, representing noise. This parametric form has the drawback that a negative skewness implies a negative expected inefficiency. It can thus never capture a negatively skewed distribution with a positive expectation. In this paper we investigate this assumption and its consequences for an analysis of inefficiency. Furthermore, we propose a solution to the problem and investigate its performance by means of a Monte Carlo simulation.

Keywords: StoNED model; Composite error; Wrong skewness; Misspecification

JEL-codes: C00; C10; C14; C15; Q00

12 pages, September 17, 2015

Full text files

300521  

Download statistics

• Norwegian School of Economics, Department of Business and Management Science
• Ordering Working Papers
• Home page for this series

Questions (including download problems) about the papers in this series should be directed to Stein Fossen ()
Report other problems with accessing this service to Sune Karlsson ().

This page generated on 2024-03-14 04:36:14.