Lasso Quintile Regression Model to Identify the Variables Influencing the Phenomenon of Divorce in Iraqi Population Commutes

Abstract

Identifying the important variables in building regression models is considered one of the fundamental challenges in constructing a good model. Therefore, selecting  potential independent variables that have a direct impact on the dependent variable provides us with accurate explanations of the capabilities of our study model. Additionally, the chosen model should be capable of generalizing the phenomenon under study. And with a high predictive capability. There are classic methods used in selecting optimal variables, but these methods have drawbacks, including the need for a significant amount of time and the lack of accuracy in results due to dealing with a large number of regression models. However, recently, a set of variable selection methods has been proposed that focus on estimating model characteristics and selecting variables simultaneously, within a very short period of time. One of these methods is the Lasso method. To obtain a regression model characterized by a set of features compared to the traditional regression model, ridge regression can be used. To achieve variable selection in the ridge regression model, the Lasso method can be integrated to obtain a Lasso quantile regression model. In estimating and selecting the factors associated with a phenomenon that threatens Iraqi population communities, namely the phenomenon of divorce. The phenomenon of divorce is the process of separation between spouses and the final termination of the legal marriage contract. Divorce is a common social phenomenon in many cultures and societies around the world, posing challenges to individuals, families, and society as a whole.The causes of divorce can be diverse and complex. These reasons may include marital incompatibility, ongoing family conflicts, communication difficulties, marital infidelity, domestic violence, cultural and religious differences, financial problems, lack of social support, and other factors. The phenomenon of divorce affects all parties involved in the marital relationship. It can have psychological and emotional effects on spouses and children, if they have any, including anxiety, depression, sadness, anger, and feelings of disappointment. Children may struggle to adapt to family changes and may experience division and feelings of guilt or rejection. In current paper. We identify the important variables that effecting on phenomenon of divorce by using one of important variable selection approach