Estimation of the Durbin Spatial Semi-Parametric Regression Model using the Sub-Segment Regression Method

Abstract

This study dealt with the penalty segment (PS) regression method to estimate the smoothing functions m(x) and m(x*), the Durbin semi-parametric spatial regression model, using the modified spatial adjacency matrix, under the standard adjoining rock, this method is one of the important non-parametric methods, were used to estimate non-parametric regression functions, it was applied using real-world data for a sample size of 75 observations, to find out the effect of average value, and it was analysed The research covered a period of five consecutive years (2018-2022), during which time it encompassed all 15 governorates of Iraq (with the exception of the three governorates that make up the Kurdistan Region). In consideration of the geographical impacts that exist across the governorates, the findings demonstrated that there was a discernible relationship between the rate of electrical loads and the temperature as well as the population density.