Autoregressive Integrated Moving Average Model (ARIMA) and Vector Autoregressive Regression (VAR) applied to the national production of corn and beans in El Salvador for the period 1955-2030

Authors

  • Luis Alonso Orellana Guevara Universidad Centroamericana José Simeón Cañas, UCA
  • Roberto Alejandro Flores Romero Universidad Centroamericana José Simeón Cañas, UCA

DOI:

https://doi.org/10.51378/iuca.v1i1.6777

Keywords:

Agricultural productivity-El Salvador, Soil productivity-El Salvador

Abstract

No abstract available.

Investigaciones UCA, Año. 1, Vol. 1, 2019-2020: 316-320.

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Author Biographies

Luis Alonso Orellana Guevara, Universidad Centroamericana José Simeón Cañas, UCA

Maestría en Estadística Aplicada a la Investigación

Roberto Alejandro Flores Romero, Universidad Centroamericana José Simeón Cañas, UCA

Maestría en Estadística Aplicada a la Investigación

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Published

2020-12-30


How to Cite

Orellana Guevara, L. A., & Flores Romero, R. A. (2020). Autoregressive Integrated Moving Average Model (ARIMA) and Vector Autoregressive Regression (VAR) applied to the national production of corn and beans in El Salvador for the period 1955-2030. Investigaciones UCA, 1(1), 316–320. https://doi.org/10.51378/iuca.v1i1.6777

Issue

Investigaciones UCA. Memoria Bienal: Año. 1, Vol. 1, 2019-2020

Section

Faculty of Postgraduate

License

Copyright (c) 2020 Luis Alonso Orellana Guevara, Roberto Alejandro Flores Romero

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.