Modeling dependence between error components of the stochastic frontier model using copula: Application to intercrop coffee production in Northern Thailand-Reference-Cited by-同舟云学术

Modeling dependence between error components of the stochastic frontier model using copula: Application to intercrop coffee production in Northern Thailand

Published:2015-10 Issue: Volume:65 Page:34-44
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Wiboonpongse Aree,Liu Jianxu^ORCID,Sriboonchitta Songsak,Denoeux Thierry

Funder

Thailand Research Fund

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference37 articles.

1. Formulation and estimation of stochastic frontier production function models;Aigner;J. Econom.,1977

2. Planting season choice and technical efficiency in Thailand's arabica coffee and macadamia nut production: case study Northern of Thailand;Ayuttaya,2011

3. Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India;Battese;J. Product. Anal.,1992

4. A copula-based approach to accommodate residential self-selection effects in travel behavior modeling;Bhat;Transp. Res., Part B, Methodol.,2009

5. Pitfalls in tests for changes in correlations;Boyer,1999

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