PENGARUH TINDAK KORUPSI TERHADAP KEMISKINAN DI NEGARA-NEGARA ASIA TENGGARA DENGAN MODEL PANEL DATA

Aditya Firman Baktiar (Politeknik Statistika STIS, Indonesia)
Herpanindra Fadhilah (Politeknik Statistika STIS, Indonesia)
Margareth Dwiyanti Simatupang (Politeknik Statistika STIS, Indonesia)
Mula Warman (Politeknik Statistika STIS, Indonesia)
Salsa Vira (Politeknik Statistika STIS, Indonesia)
Rani Nooraeni (Politeknik Statistika STIS, Indonesia)

Indonesian Journal of Statistics and Its Applications
Vol 4 No 2 (2020)

Poverty is still being an issue all over the world. It also happens in Southeast Asia that mostly consists of developing countries that 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 a fixed effect model. Based on the model, the corruption represented by Corruption Perception Index (CPI) and the poverty 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.