Using Arima Models To Forecast A Wheat Production In Syria

Authors

  • Mohmad Akroush Tishreen University
  • Ali Hmedi Tishreen University

Abstract

The aim of this study was to apply Box- Jenkins methodology represented by ARIMA models, to forecast a production of wheat in Syria, and to know if this model is effective in forecasting.The main results were: -The time series for the production of wheat in Syria for the period 1990 - 2016 is unstable, and then stabilized after making the second differences.

- ARIMA (1,2,0) model, which is the suitable model to forecast a production of wheat, and it is effective model.

- Forecasting the production of wheat in Syria for next third years.

 

Author Biographies

Mohmad Akroush , Tishreen University

Professor, Department Of Statistical And Programming, Faculty Of Economics 

Ali Hmedi, Tishreen University

Postgraduate Student, Department Of Statistical And Programming, The Competence Of Population And Development

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Published

2021-03-08

How to Cite

1.
عكروش م, حميدي ع. Using Arima Models To Forecast A Wheat Production In Syria. Tuj-econ [Internet]. 2021Mar.8 [cited 2024Nov.25];43(1). Available from: https://journal.tishreen.edu.sy/index.php/econlaw/article/view/10354

Issue

Vol. 43 No. 1 (2021): Tishreen University Journal for Research and Scientific Studies - Economic and Legal Sciences Series

Section

Articles

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