Modelos de data panel estáticos para el impacto de las exportaciones en el PBI. Macrorregión Norte del Perú
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Date
2024
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Universidad Nacional de Trujillo
Abstract
El presente trabajo de investigación tuvo como objetivo principal determinar el mejor modelo de data panel estático para el impacto de las exportaciones tradicionales y no tradicionales en el PBI de la Macrorregión Norte del Perú. La investigación es observacional, explicativa, transversal y longitudinal, con diseño de data panel. La información se recopilo de fuentes con datos ya existentes. La muestra estuvo comprendida por el Producto Bruto Interno y las exportaciones tradicionales y no tradicionales, espacialmente por departamentos (La Libertad, Cajamarca, Lambayeque, Piura y Tumbes) y temporalmente por el periodo 2007-2021. Se utilizó la metodología de datos de panel; y finalmente los resultados se obtuvieron mediante la prueba de Hausman, la cual mostró que el p-valor es superior al nivel de significancia (p=0.06 > 0.05). Por lo tanto, se determinó que el mejor modelo para explicar el impacto de las exportaciones tradicionales y no tradicionales sobre el PBI es el modelo de efectos aleatorios
Abstract The main objective of this research was to determine the best static panel data model for the impact of traditional and non-traditional exports on the GDP of the Northern Macro-region of Peru. The research is observational, explanatory, cross-sectional and longitudinal, with a panel data design. The information was collected from existing data sources. The sample was comprised of Gross Domestic Product and traditional and non-traditional exports, spatially by department (La Libertad, Cajamarca, Lambayeque, Piura and Tumbes) and temporally for the period 2007-2021. The panel data methodology was used; and finally the results were obtained using the Hausman test, which showed that the p value is higher than the level of significance (p=0.06 > 0.05). Therefore, it was determined that the best model to explain the impact of traditional and non-traditional exports on GDP is the random effects model
Abstract The main objective of this research was to determine the best static panel data model for the impact of traditional and non-traditional exports on the GDP of the Northern Macro-region of Peru. The research is observational, explanatory, cross-sectional and longitudinal, with a panel data design. The information was collected from existing data sources. The sample was comprised of Gross Domestic Product and traditional and non-traditional exports, spatially by department (La Libertad, Cajamarca, Lambayeque, Piura and Tumbes) and temporally for the period 2007-2021. The panel data methodology was used; and finally the results were obtained using the Hausman test, which showed that the p value is higher than the level of significance (p=0.06 > 0.05). Therefore, it was determined that the best model to explain the impact of traditional and non-traditional exports on GDP is the random effects model
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Keywords
Data panel, PBI, Exportaciones tradicionales y Exportaciones no tradicionales