Dr. Wasfi T. Saalih Kahwachi
Research Center, Tishk International University, Erbil, Kurdistan Region of Iraq
Email: [email protected]
DOI: 10.23918/ICABEP2022p16
Abstract
The objective of this research is to identify the best and most relevant statistical model for projecting grain production in the Kurdistan region. Data that were used was on a Governorate basis collected for this purpose throughout the year period (1992-2017). Linear Regression Analysis was used, and Panel Data Analysis. The essential transformations were used to achieve OLS conditions. The analysis achieved the most appropriate model using some statistical criteria like (AIC, BIC, MSE, MAPE, and RMSE) which was used to obtain the model that can be utilized in the prediction. Two new criteria were proposed (WK1, WK2). It was found that WK1 and WK2 were the best criteria in the comparison. A simulation was conducted in favour of the selected model.
Keywords: Grain production, regression analysis, panel data analysis, forecasting, simulation, WK1, WK2.
ICABEP2022
4th International Conference on Accounting, Business, Economics and Politics
Organized by
Tishk International University, College of Administration and Economics, Salahaddin University-Erbil, and
University of Szczecin, Poland.
