The Influence of Gross Regional Domestic Product (PDRB), Education Health, and Unemployment on The Poverty Rate in Regencies/Cities of East Nusa Tenggara Province

Abstract

This research aims to determine and analyze the influence of Gross Regional Domestic Product (RGDP), length of schooling (education), life expectancy (health), and unemployment rate on the poverty rate in regencies or cities of East Nusa Tenggara Province. The method used is panel data regression, combining time series data from 22 regencies/cities and cross-sectional data from 2011 to 2022. There are three models in panel data regression: Pooled Least Squares (PLS), Fixed Effects Model (FEM), and Random Effects Model (REM). Based on the Hausman test, the model used in this research is the Random Effects Model (REM). The results of the research show that simultaneously, RGDP, education, health, and unemployment significantly influence the poverty rate. Partially, the RGDP variable and life expectancy (health) have a negative effect, while unemployment has a positive effect on the poverty rate. However, the length of schooling variable (education) does not have an influence on the poverty rate.