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October 8, 2025J Statistika Jurnal Ilmiah Teori dan Aplikasi Statistika

The Modeling of The Poverty Rate In Indonesia From 2018 to 2023 Using A Panel Data Regression Approach

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Authors

DVDhyana VenosiaTSToha SaifudinNCNur Chamidah

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Overview

This analysis identifies factors affecting poverty rate in Indonesia, suggesting multiple impacts from education and economy.

Key Points

  • All independent variables significantly affect the poverty rate, indicating important socio-economic dynamics.
  • The poverty rate in Indonesia showed fluctuations from 2018 to 2023, highlighting persistent challenges.
  • Utilizing panel data regression allowed for a comprehensive view of poverty dynamics over time.
  • This research aligns with sustainable development goals, aiming for zero poverty through targeted strategies.

Cite This Study

Venosia et al. (2025) studied this question.

synapsesocial.com/papers/68e6494525bc5bdb98713c55https://doi.org/10.36456/jstat.vol18.no1.a10139
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  1. 1Dynamic panel data modeling of Indonesia’s poverty level 2013-20222024 · 2 citations
  2. 2The Nexus of Gender Inequality and Poverty Rate in Indonesia2024 · 1 citations
  3. 3Socioeconomic Dynamics and Poverty Rate in East Java: A Panel Regression Investigation2024
  4. 4Multidimensional Poverty in Indonesia: The Role of Economic, Social, Educational, and Political Factors2025
  5. 5Analysis of macroeconomic factors affecting poverty levels in Indonesia using a dummy regression model approach2025