Open AccessModel Regresi Spasial dan Aplikasinya pada Kasus Tingkat Kemiskinan Kabupaten Soppeng
Author(s) -
Anggi Ananda Putri,
Wahidah Sanusi,
Sukarna Sukarna
Publication year - 2018
Publication title -
indonesian journal of fundamental sciences
Language(s) - English
Resource type - Journals
eISSN - 2621-6728
pISSN - 2621-671X
DOI - 10.26858/ijfs.v4i2.7638
Subject(s) - autoregressive model , poverty , distributed lag , econometrics , variable (mathematics) , statistics , geography , population , variables , latent variable , mathematics , socioeconomics , economics , sociology , demography , economic growth , mathematical analysis
Poverty is one of the major problem that frequently faced by human. Begin from poverty, consequently emerged several social issues, such as homeless, beggar, defendant, and prostitution. On this research were conducted modeling poverty degree in Soppeng with using number of poor household as the dependent variable. Modeling were done by using area approach which is a Spatial Autoregressive (SAR) model and Spatial Error Model (SEM). As for the independent variable used on this research is the number of health services, school facility, population density, social well being disable, and the distance on village and centre of Soppeng. Regarding to the analysis of Spatial Autoregressive (SAR) and Spatial Error Model (SEM) shows that there is a spatial dependency lag and error on number of poor household variable. As for the independent variable which have the significancy account for 5% on Spatial Autoregressive (SAR) and Spatial Error Model (SEM) are every variables with a number R2= 90,9% on SAR and R2= 90,1% on SEM.