Analysis of Factors Affecting Poverty Depth Index in Papua Province Using Panel Data Regression

DOI

10.2991/acsr.k.220202.037How to use a DOI?

Keywords

Fixed Effect Model (FEM); Poverty depth index; Panel data regression

Abstract

One of the main problems in Papua Province is poverty, because the Poverty Depth Index (P1) in Papua Province is greater than other province, which was 7.17 in 2019. This value is bigger than the Poverty Depth Index in Indonesia which was only 1.55. This study will analyse the factors that affect the Poverty Depth Index in Papua Province in District/City in 2012 until 2019 using the panel data regression method. Panel data regression is used because this method can combine cross section data with time series data. The results of the selection of best model show that the best model is Fixed Effect Model (FEM) and test assumptions of residual covariance variance structure show that the model has heteroscedasticity structure. Therefore, the best model is Fixed Effect Model (FEM) with cross-section weighted. The model has an R-square value of 82.5% with significant variables are Human Development Index and average expenditure per capita in one month.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Rufina Indriani
AU  - Erma Oktania Permatasari
PY  - 2022
DA  - 2022/02/08
TI  - Analysis of Factors Affecting Poverty Depth Index in Papua Province Using Panel Data Regression
BT  - Proceedings of the  International Conference on Mathematics, Geometry, Statistics, and Computation (IC-MaGeStiC 2021)
PB  - Atlantis Press
SP  - 196
EP  - 203
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.220202.037
DO  - 10.2991/acsr.k.220202.037
ID  - Indriani2022
ER  -