Spatial Autoregressive Quantile Regression Model of Population in Central Kalimantan

Central Kalimantan exhibits regional variation in population size, which is suspected to be influenced by several factors. This study aims to determine the best model and identify the factors that influence the population in Central Kalimantan. The method used is Spatial Autoregressive Quantile Regression because it can overcome spatial dependence and spatial heterogeneity. The data used are population size, population growth rate, number of poor people, and number of midwives in Central Kalimantan in 2024. The results of the best model are at the 0.1 quantile, where the number of poor people and the number of midwives significantly influence the population size in Central Kalimantan.