PENGARUH TINDAK KORUPSI TERHADAP KEMISKINAN DI NEGARA-NEGARA ASIA TENGGARA DENGAN MODEL PANEL DATA
Author(s) -
Aditya Firman Baktiar,
Herpanindra Fadhilah,
Margareth Dwiyanti Simatupang,
Mula Warman,
Salsa Vira,
Rani Nooraeni
Publication year - 2020
Publication title -
indonesian journal of statistics and its applications
Language(s) - English
Resource type - Journals
ISSN - 2599-0802
DOI - 10.29244/ijsa.v4i2.634
Subject(s) - poverty , panel data , language change , index (typography) , development economics , human development index , developing country , unit (ring theory) , ordinary least squares , economics , political science , economic growth , human development (humanity) , econometrics , psychology , computer science , art , literature , mathematics education , world wide web
Poverty is still being an issue all over the world. It also happen in Southeast Asia that mostly consist of developing countries which identic with high poverty rates. Countries in the world have tried to eradicate the problem of poverty, it's just that it can be hampered due to the high level of corruption. This study aims to look at suitable models and the relationship between corruption and poverty. The data source in this study is secondary data from ten countries in Southeast Asia from 2015 to 2018. Analysis of the data used in this study is panel data. The result obtained is a panel data regression model that is more suitable for modeling the effect of corruption on poverty in Southeast Asian countries is fixed effect model. Based on the model, the corruption which represented by Corruption Perception Index (CPI) and the poverty which represented by Human Development Index (HDI) is directly proportional which means every increase in one unit of CPI will also increase the HDI score by 0,001443 unit.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom