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Análisis de la Función de Producción Agraria para distintos niveles de Agregación

Author

Listed:
  • CEPAS LÓPEZ, S.

    (Departamento de Estadística)

  • DIOS PALOMARES, R.

    (Departamento de Estadística)

Abstract

El principal objetivo de este estudio es estimar la función de producción para el sector agrario español (FPA). También se pretende comprobar si el planteamiento de diferentes niveles de agregación de los datos afecta a las repercusiones de la multicolinealidad, realizar un análisis descriptivo de las variables que van a entrar en los modelos, y evaluar la incidencia de la multicolinealidad sobre la FPA. Se utilizan cuatro niveles de agregación de las variables explicativas, y se estiman las correspondientes funciones de producción por MCO tras introducir dichas variables linealizadas en una especificación Cobb-Douglas. Igualmente, se detecta la intensidad de la multicolinealidad mediante el cálculo de los índices de condición y de la descomposición de la varianza. Los resultados obtenidos indican que la estimación de la FPA se ve afectada negativamente por la multicolinealidad, y que el uso de agregaciones no consigue mejorar esa situación. Sin embargo, los modelos presentaron excelentes propiedades desde el punto de vista predictivo. The main aim of this research is to estimate the aggregate production function (APF) for Spain's agricultural sector . Other objectives are to carry out a descriptive analysis of the production inputs, to assess the effects of multicollinearity on the APF, and to find out whether such effects are affected when using several aggregative levels of the inputs. Specifically, four aggregative levels are used, and the four outcoming models are estimated by Ordinary Least Squares, employing a Cobb-Douglas specification. Equally, multicollinearity's severity is detected using variance decomposition and condition indexes. It is concluded that multicollinearity seems to affect negatively the APF estimation, with no improvement provided by the aggregation. However, the models estimated showed favourable properties in terms of predictive capacity.

Suggested Citation

  • Cepas López, S. & Dios Palomares, R., 1999. "Análisis de la Función de Producción Agraria para distintos niveles de Agregación," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 12, pages 17-33, Julio.
  • Handle: RePEc:lrk:eeaart:12_2_7
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    Cited by:

    1. Andrés González-Moralejo, Silvia & Soldado Llorens, Mº José, 2012. "Contribución de las variables que estimulan la producción agraria en España (1990-2009)/Analyse of the Main Variables Which Better Contribute to the Agricultural Production in Spain (1990-2009)," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 30, pages 367(24)-367, Abril.

    More about this item

    Keywords

    multicollinearity; aggregated production function; variance; decomposition.;

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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