Estimation the spatial durban regression model for anemia patients sample in some region of al-Karkh Baghdad

الملخص EN

The study of economic and health spatial phenomena is of great importance in research, where an added and important variable is studied, which is the spatial variable, because of this the Durban spatial regression model is an important models in applications for many phenomena and the research aims to estimate the Durban spatial regression model using the ordinary and modified spatial contiguity matrix under the Rook criterion using the parametric estimation methods represented by the maximum likelihood method, as this model was described to study the relationship between the dependent variable (Yi) represented by the ratio of hemoglobin in the blood and the explanatory variables represented by (Marital status, menstrual cycle for more than seven days, bleeding during the menstrual cycle, pregnancy or childbirth during the life period and the number of total loads) under the effect of spatial contiguity.

Among the most important conclusions that were reached is the emergence of significant effects of some explanatory variables on the dependent variable (Yi), also show that the modified spatial contiguity matrix (M*) is better than the ordinary spatial contiguousness matrix (M) when estimating the Durban spatial regression model in representing the data and that the estimated values of the dependent variable (Yi) are close to the real values of the same variable.