Indonesian Journal of Applied Statistics
Vol 3, No 1 (2020)

Pemodelan Indeks Keparahan Kemiskinan di Indonesia Menggunakan Analisis Regresi Robust

Melva Hilda Stephanie Situmorang (Universitas Sebelas Maret)
Yuliana Susanti (Universitas Sebelas Maret)

Article Info

Publish Date
23 Jul 2020

Abstract

Poverty is one indicator to see the success of development in a country. The Poverty Severity Index can be used as one measure of the magnitude of poverty in an area. In the Poverty Severity Index data in Indonesia, in 2018 there were some outliers, so to analyze it used robust regression. The purpose of this study is to determine the significant factors on the Poverty Severity Index in Indonesia using robust regression with the M-estimation method. The results showed that the Poverty Severity Index model in Indonesia using robust regression was influenced by Gini Ratio, Percentage of Poor Population, and Pure Participation Rate with R-square = 94,8%.Keywords: Poverty Severity Index, robust regression.

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Journal Info
Indonesian Journal of Applied Statistics
Website

Abbrev

ijas

Publisher

Universitas Sebelas Maret

Subject

Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science

Description

Indonesian Journal of Applied Statistics (IJAS) is a journal published by Study Program of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia. This journal is published twice every year, in May and November. The editors receive scientific papers on the results of research, scientific ...