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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.
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Submitted on : Wednesday, May 27, 2020 - 3:57:40 PM
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  • HAL Id : hal-02634662, version 1
  • PRODINRA : 284119



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



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