Consequences of omitting relevant inputs on the quality of the data envelopment analysis under different input correlation structures

This paper establishes the consequences of a wrong specification on the quality of the data envelopment analysis. Specifically, the case of omitting a relevant variable in the input oriented problem is analyzed when there are different correlation structures between the inputs. It is established tha...

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Autores:
Ramírez Hassan, Andrés
Tipo de recurso:
Fecha de publicación:
2008
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/556
Acceso en línea:
http://hdl.handle.net/10784/556
Palabra clave:
Efficiency
Data Envelopment Analysis
Monte Carlo Simulation
Input Correlation Structure
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