Panel data analysis and modeling for wheat production in Kurdistan Region-Iraq

Abstract EN

In this study it is required to estimate the economic growth function for wheat production, balanced panel data models was used to reach the main goal to predict wheat production depending on the area in acres and the precipitation in milliliter as explanatory variables the sample of the study contains (60) observations for the three variables explained later in Sulaimani, Hawler and Duhok cities for period(1992-2011).

The pooled regression, fixed effect and random effect models have been run for the data under study and the postulated models compared depending on coefficient determination (R2) and Akaiki information criterion (AIC)and Hausman test to select the more adequate model that has a best performance that represents the phenomena of wheat production.

According to the measures of (R2and AIC) the best model have been detected which is fixed effect model with (R2=% 82, AIC=0.63).