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The present study uses local maximum likelihood (LML) methods recently proposed by Kumbhakar et al. (2007) to assess the technical efficiency of arable crop Kansas farms. LML techniques overcome the most relevant limitations associated to mainstream parametric stochastic frontier models. Results suggest that Kansas farms reach technical efficiency levels on the order of 90%. These results are compared with another flexible efficiency assessment alternative: the deterministic data envelopment analysis (DEA).

Keywords: Technical efficiency ; Nonparametric ; Local maximum likelihood approach

Subject(s): Crop Production/Industries

Production Economics

Productivity Analysis

Issue Date: 2013

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/147488

Total Pages: 27

JEL Codes: C14; Q12; D24

Series Statement: PAPER

P1832

Record appears in: Agricultural and Applied Economics Association (AAEA) > 2013 Annual Meeting, August 4-6, 2013, Washington, D.C.





Autor: Guesmi, Bouali ; Serra, Teresa ; Featherstone, Allen M.

Fuente: http://ageconsearch.umn.edu/record/147488?ln=en







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