Analysis of Factors Affecting Poverty Depth Index in Papua Province Using Panel Data Regression
- 10.2991/acsr.k.220202.037How to use a DOI?
- Fixed Effect Model (FEM); Poverty depth index; Panel data regression
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.
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
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Cite this article
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 -