Abstract
Nonparametric estimation methods are experiencing a growing success in their application in economics. This success comes from the fact that they do not imply any assumption about the object to estimate: probability density function, regression model… and let the data determine an appropriate model. This paper gives an introduction to nonparametric techniques used when estimating production frontier and efficiency scores from a sample of decision making units (firms, farms, …). Special attention is devoted to Data Envelopment Analysis (DEA) estimation techniques. Example are used to illustrate the implementation of these techniques.
Reference
Nguyen Phuong Anh, and Michel Simioni, “Non Parametric Models with Applications in Economics”, Vietnam Journal of Mathematical Applications, vol. 12, n. 2, September 2014, pp. 1–24.
Published in
Vietnam Journal of Mathematical Applications, vol. 12, n. 2, September 2014, pp. 1–24