Skip to Main content Skip to Navigation
Journal articles

Nonparametric Models with Applications in Economics

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.
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-02634662
Contributor : Migration Prodinra Connect in order to contact the contributor
Submitted on : Wednesday, May 27, 2020 - 3:57:40 PM
Last modification on : Thursday, June 10, 2021 - 3:46:26 AM

Identifiers

  • HAL Id : hal-02634662, version 1
  • PRODINRA : 284119

Collections

Citation

Michel Simioni, Phuong Anh Nguyen. Nonparametric Models with Applications in Economics. Vietnam Journal of Mathematics, Springer, 2014, 12 (2), pp.1-24. ⟨hal-02634662⟩

Share

Metrics

Record views

20