Analysis of Factors Affecting Labor Force Participation in Jambi Province Using Binary Logistic Regression Method

Abstract

National development is closely related to population issues in the field of labor that can increase the productivity of a country's economy. The Labor Force Participation Rate (TPAK) is one indicator of the success of economic development in a region. TPAK is an independent variable categorized as working and not working that is influenced by several independent variables. The TPAK category is included in qualitative data with a nominal data scale, the analysis process can use binary logistic regression analysis. Binary logistic regression is a statistical method that describes the relationship between an independent variable that has two or more categories and an independent variable that has a quantitative or qualitative scale. The model of this research conveys that the more the population in productive age works, the more influential it is on labor force participation. Then the marital status variable with the categories of marriage, divorce and death divorce plays a greater role in labor force participation than being unmarried. Furthermore, the variable of female gender has more labor force participation than male.