Scandinavian Working Papers in Economics
HomeAboutSeriesSubject/JEL codesAdvanced Search
Department of Business and Management Science, Norwegian School of Economics (NHH) Discussion Papers, Department of Business and Management Science, Norwegian School of Economics (NHH)

No 2015/24:
On the Distributional Assumptions in the StoNED model

Xiaomei Cheng (), Jonas Andersson () and Endre Bjørndal ()

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; (follow links to similar papers)

JEL-Codes: C00; C10; C14; C15; Q00; (follow links to similar papers)

12 pages, September 17, 2015

Before downloading any of the electronic versions below you should read our statement on copyright.
Download GhostScript for viewing Postscript files and the Acrobat Reader for viewing and printing pdf files.

Full text versions of the paper:

300521    PDF-file
Download Statistics

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 () or Helena Lundin ().

Programing by
Design by Joachim Ekebom

Handle: RePEc:hhs:nhhfms:2015_024 This page was generated on 2015-09-17 14:17:40