Multi-stage variable selection method for efficiency evaluation with DEA models and panel data

• Patricia A. Iñiguez ^[1] ; Juan M. Gallardo ^[1] ; Mariana Arburua ^[1] ; Pablo Pagano ^[1]
  1. [1] Universidad Nacional de R´ıo Cuarto
• Localización: BEIO, Boletín de Estadística e Investigación Operativa, ISSN 1889-3805, Vol. 38, Nº. 3, 2022
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen
  • español

    Método de selección de variables basado en un indicador multiatributo para la evaluación de eficiencia de unidades observadas en más de un período. La aplicación se ilustra con el caso de la evaluación de la eficiencia de hospitales de gestión pública provincial de la provincia de Córdoba, Argentina.

  • English

    A variable selection method based on a multi-attribute indicator for efficiency evaluation of units observed in more than one period is presented. The proposed search algorithm allows choosing a common set of variables for the T periods; controlling the number of selected variables, without the evaluator in each iteration analyzing the added value of the variables to be added; operating directly with the original variables, without reducing dimensionality by composing artificial variables and;

    deriving a collection of empirical models. The application is illustrated with the case of the efficiency evaluation of provincial public management hospitals in the province of C´ordoba, Argentina.

• Referencias bibliográficas
  • Adler, N. y B. Golany (2001). ✭✭Evaluation of deregulated airline networks using data envelopment analysis combined with principal component...
  • Adler, N. y E. Yazhemsky (2010). ✭✭Improving discrimination in data envelopment analysis: PCA–DEA or variable reduction✮✮. En: European Journal...
  • Allen, R., A. Athanassopoulos, R. Dyson y E. Thanassoulis (1997). ✭✭Weights restrictions and value judgements in data envelopment analysis:...
  • Arellano, Manuel (1992). Introducci´on al an´alisis econom´etrico con datos de panel. Banco de Espa˜na. Servicio de Estudios.
  • Banker, R. (1996). ✭✭Hypothesis tests using data envelopment analysis✮✮. En: Journal of productivity analysis 7.2, p´ags. 139-159.
  • Banker, R., A. Charnes y W. Cooper (1984). ✭✭Some models for estimating technical and scale inefficiencies in data envelopment analysis✮✮....
  • Benítez-Peña, S., P. Bogetoft y D. Morales (2019). ✭✭Feature selection in data envelopment analysis: A mathematical optimization approach✮✮....
  • Castro Senra, L., L. Nanci, J. Soares De Mello y L. Angulo Meza (2007). ✭✭Estudo sobre m´etodos de sele¸c˜ao de vari´aveis em dea✮✮. En: Pesquisa...
  • Charnes, A., W Cooper y E. Rhodes (1978). ✭✭Measuring the efficiency of decision-making units✮✮. En: European journal of operational research...
  • Cooper, W, L. Seiford y J. Zhu (2011). Handbook on data envelopment analysis. Springer Science & Business Media.
  • Eskelinen, J. (2017). ✭✭Comparison of variable selection techniques for data envelopment analysis in a retail bank✮✮. En: European Journal...
  • Farrell, M. (1957). ✭✭The measurement of productive efficiency✮✮. En: Journal of the Royal Statistical Society: Series A (General) 120.3,...
  • Friedman, L. y Z. Sinuany-Stern (1998). ✭✭Combining ranking scales and selecting variables in the DEA context: The case of industrial branches✮✮....
  • Golany, B. e Y. Roll (1989). ✭✭An application procedure for DEA✮✮. En: Omega 17.3, p´ags. 237-250.
  • González-Araya, M., G. Campo Hernández y L. Acosta Espejo (2013). ✭✭Selección de variables en modelos DEA usando series de tiempo✮✮. En: Anais...
  • González-Araya, M. y N. Valdés (2009). ✭✭Método de selección de variables para mejorar la discriminación en el análisis de eficiencia aplicando...
  • Jenkins, L. y M. Anderson (2003). ✭✭A multivariate statistical approach to reducing the number of variables in data envelopment analysis✮✮....
  • Limleamthong, P. y G. Guillén-Gosálbez (2018). ✭✭Mixed-integer programming approach for dimensionality reduction in data envelopment analysis:...
  • Lins, M. y M. Moreira (1999). ✭✭Método IO stepwise para sele¸c˜ao de vari´aveis em modelos de an´alise envolt´oria de dados✮✮. En: Pesquisa...
  • Morita, H. y N. Avkiran (2009). ✭✭Selecting inputs and outputs in data envelopment analysis by designing statistical experiments✮✮. En: Journal...
  • Nataraja, N. y A. Johnson (2011). ✭✭Guidelines for using variable selection techniques in data envelopment analysis✮✮. En: European Journal...
  • Pastor, J., J. Ruiz e I. Sirvent (2002). ✭✭A statistical test for nested radial DEA models✮✮. En: Operations Research 50.4, p´ags. 728-735.
  • Peyrache, A., C. Rose y G. Sicilia (2020). ✭✭Variable selection in data envelopment analysis✮✮. En: European Journal of Operational Research...
  • Ruggiero, J. (2005). ✭✭Impact assessment of input omission on DEA✮✮. En: International Journal of Information Technology & Decision Making...
  • Simar, L. y P. Wilson (2001). ✭✭Testing restrictions in nonparametric efficiency models✮✮. En: Communications in Statistics-Simulation and...
  • Soares De Mello, J., E. Gomes, L. Angulo Meza y M Lins (2004). ✭✭Selecci´on de Variables para el incremento del poder de discriminaci´on de...
  • Ueda, T. e Y. Hoshiai (1997). ✭✭Application of principal component analysis for parsimonious summarization of DEA inputs and/or outputs✮✮....
  • Wagner, J. y D. Shimshak (2007). ✭✭Stepwise selection of variables in data envelopment analysis: Procedures and managerial perspectives✮✮....