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ANALYSIS OF FACTORS AFFECTING POVERTY IN PAPUA ISLAND USING SPATIAL PANEL DATA FOR 2017 - 2020
Dian Lestari
,
Yekti Widyaningsih
Department of Mathematics
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Keyphrases
Factor Analysis
100%
Poverty
100%
Papua Island
100%
Spatial Panel Data
100%
Indonesia
33%
Spatial Heterogeneity
33%
Panel Regression Model
33%
Geographically Weighted Panel Regression
33%
Papua
16%
Further Analysis
16%
Poverty Rate
16%
Coefficient of Determination
16%
Statistik
16%
Gaussian Kernel
16%
Life Expectancy
16%
Spatial Effect
16%
Best Model
16%
Gini Coefficient
16%
West Papua
16%
Kernel Weight
16%
Expectancy
16%
Spatial Aspect
16%
Homogeneity Test
16%
Labor Force Participation Rate
16%
Poverty Data
16%
Consumption per Capita
16%
High Poverty
16%
School Year
16%
Breusch-Pagan Test
16%
Social Sciences
Panel Data
100%
Indonesia
100%
Basic Needs
50%
Labor Force Participation Rate
50%
Consumption Ratio
50%
Life Cycle
50%
Economics, Econometrics and Finance
Labour Force
100%
Panel Study
100%
Life Cycle
100%
Spatial Effect
100%
Agricultural and Biological Sciences
Head
100%