How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive Models

How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive Models

Mixed Regressive-Spatial Autoregressive Models (MR-SAM) is one spatial model with an area approach that takes into account the spatial influence of lag on the dependent variable. The advantage of this model is we can know the location has spatial effect or not. In this paper uses MR-SAM to determine...

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Main Author: Rezzy Eko Caraka
Format: Article
Language:English
Published: Universitas Udayana 2018-02-01
Series:Jurnal Ekonomi Kuantitatif Terapan
Online Access:https://ojs.unud.ac.id/index.php/jekt/article/view/37925
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spelling doaj-a30a8773bdae4079954f29b6dcbd03062020-11-25T03:35:01ZengUniversitas UdayanaJurnal Ekonomi Kuantitatif Terapan2303-01862018-02-01536010.24843/JEKT.2018.v11.i01.p0437925How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive ModelsRezzy Eko Caraka0School of Mathematical Sciences Faculty of Science and Mathematics The National University of MalaysiaMixed Regressive-Spatial Autoregressive Models (MR-SAM) is one spatial model with an area approach that takes into account the spatial influence of lag on the dependent variable. The advantage of this model is we can know the location has spatial effect or not. In this paper uses MR-SAM to determine and analyze the factors that affect the category of the poor in Central Java. MR-SAM is one of parametric regression, before using the model we must fulfill assumptions. In a nutshell, at significant ?=5% number of poverty in central java can be explained (statistically significant) by GDP, number of people didn’t finish primary school, and number of people who didn’t finished high school.https://ojs.unud.ac.id/index.php/jekt/article/view/37925
collection DOAJ
language English
format Article
sources DOAJ
author Rezzy Eko Caraka
spellingShingle Rezzy Eko Caraka
How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive Models
Jurnal Ekonomi Kuantitatif Terapan
author_facet Rezzy Eko Caraka
author_sort Rezzy Eko Caraka
title How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive Models
title_short How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive Models
title_full How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive Models
title_fullStr How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive Models
title_full_unstemmed How Big Poverty in Central Java: Mixed Regressive-Spatial Autoregressive Models
title_sort how big poverty in central java: mixed regressive-spatial autoregressive models
publisher Universitas Udayana
series Jurnal Ekonomi Kuantitatif Terapan
issn 2303-0186
publishDate 2018-02-01
description Mixed Regressive-Spatial Autoregressive Models (MR-SAM) is one spatial model with an area approach that takes into account the spatial influence of lag on the dependent variable. The advantage of this model is we can know the location has spatial effect or not. In this paper uses MR-SAM to determine and analyze the factors that affect the category of the poor in Central Java. MR-SAM is one of parametric regression, before using the model we must fulfill assumptions. In a nutshell, at significant ?=5% number of poverty in central java can be explained (statistically significant) by GDP, number of people didn’t finish primary school, and number of people who didn’t finished high school.
url https://ojs.unud.ac.id/index.php/jekt/article/view/37925
work_keys_str_mv AT rezzyekocaraka howbigpovertyincentraljavamixedregressivespatialautoregressivemodels
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