Geographically Weighted Panel Regression Modeling on Human Development Index in West Sumatra

Abstract

The Human Development Index (HDI) is an important issue that has a negative impact on the field of human development and people's welfare in West Sumatra Province. An effort to overcome the problem of the HDI is to identify the influencing factors. A method that can be used to identify influencing factors and explain the influence of characteristic areas of observation is Geographically Weighted Panel Regression (GWPR). GWPR is a combination of panel data regression method with GWR which is used when the data has the influence of spatial heterogeneity. The purpose of this study is to form a GWPR model that will be applied to the HDI in Regencies/Cities in West Sumatra from 2019 to 2022. Modeling using GWPR Fixed Effect Model. The weigher function used is a fixed exponential kernel with a minimum CV of 0.00208. The results showed that the model obtained had an  of 99.9%, which means the predictor variable was able to explain the model by 99.9%. Variables that have a significant on HDI are Life Expectancy, Expected Years of Schooling, Mean Years of Schooling, and Purchasing Power Parity.