Spatial panel data model of poverty in Bengkulu province with fixed effect and spatial error autocorrelation

Abstract

The poverty that occurs in Bengkulu province varies for each district/city, sub-district and village, as poverty data is spatial data that varies by region. The diversity of poverty data in Bengkulu Province is influenced by spatial and temporal effects, and poverty data are cross-sectional and time series data. This study will model the poverty of districts/city of Bengkulu province using the spatial panel data model. The spatial panel data model is a combined method of spatial regression and panel data regression. This study uses spatial panel model, i.e. spatial error model with fixed effect and spatial error autocorrelation. Based on this model, the most influential factors on poverty in Bengkulu province are the human development index.