A thesis at the University of Karbala discusses the impact of foreign direct investment on the balance of payments

      Comments Off on A thesis at the University of Karbala discusses the impact of foreign direct investment on the balance of payments

A dissertation in the College of Administration and Economics at the University of Karbala discussed the impact of foreign direct investment on the balance of payments – the experiences of selected countries, with special reference to Iraq.

The study presented by the student Hiyam Saleh Abdel-Reda came with the aim of identifying the characteristics of circular data and building a simple angular regression model with a different error distribution than the previously proposed error distributions and proposing a test to know the quality of reconciliation of the angular regression models as well as choosing the best model that fits the studied phenomenon based on the BIC standard and the AICC criterion for comparison between models.
The letter included proposing a set of policies that encourage foreign direct investment in the light of international experiences.
The study concluded that the simple angular regression model is the best model, such as the data with an error that follows the normal distribution wrapped depending on the values of the differentiation criteria between the models and that the relationship between the direction of high atmospheric pressure and the direction of the winds in the city of Nasiriyah is a direct relationship and there is no significant difference in the direction between the high atmospheric pressure and the direction of winds in the city of Nasiriyah; Therefore, other factors have a slight effect compared to the effect of high atmospheric pressure.
The study recommended the use of this model in identifying the type of relationship between two circular variables as well as predicting the future values of a circular variable based on the values of an independent circular variable and expanding the scope of the simple angular regression model with an error that follows the wrapped normal distribution to multiply the number of independent variables instead of using one independent variable.