ANALISIS REGRESI SPASIAL FIXED EFFECT DATA PANEL PADA KASUS PERSENTASE KEMISKINAN DI PROVINSI RIAU

Abstract

The poverty rate in Riau Province in 2014 reached 8.42%. This figure is still relatively high. Economic growth, total population, district / city minimum wages, and the open unemployment rate are considered to have contributed to the percentage of poverty in Riau Province. For this reason, testing of these variables is carried out. The data used is data from BPS Riau Province in 2011-2019 in the form of panel data which is a combination of cross section data and time series data, the analysis is carried out using spatial regression panel data which has 2 models, namely the Spatial Lag Model (SAR) and the Spatial Model Error (SEM). This study shows that the SAR fixed effect model is better with economic growth as a significant variable and the results of the calculation of the criteria for the goodness of the model are 99,81%.