Determinan Kemiskinan Multidimensi Anak di Provinsi Nusa Tenggara Timur

Penulis

  • Maria Septiani Gabur Badan Pusat Statistik Kabupaten Manggarai
  • Muhamad Andriansyah Badan Pusat Statistik Kabupaten Manggarai
  • Gloria Stephany Haman Cengga Badan Pusat Statistik Kabupaten Manggarai

DOI:

https://doi.org/10.64930/jstar.v4i2.69

Kata Kunci:

Child Poverty, MODA, Multilevel Binary Logistic Regression

Abstrak

Poverty alleviation is one of the focuses of all countries in the world, including Indonesia. Based on BPS-Statistics Indonesia, monetary poverty in the age group of children (0-17 years) and toddlers (0-4 years) is higher than poverty in other age groups in 2022, which is 11.8 percent and 12.93 percent. Based on region, Nusa Tenggara Timur is the province with the highest child poverty after Papua, West Papua and Maluku, which is 25.68 percent. This study applies the MODA approach to assess the status of child poverty and uses multilevel binary regression to examine the factors influencing child poverty in Nusa Tenggara Timur Province. The results of the study showed that individual and household characteristics have a significant effect on multidimensional child poverty in Nusa Tenggara Timur Province. The individual characteristics that have an influence include the child's age and gender, while the household characteristics that have an influence are the Education of the Head of Household, Number of Household Members, Poverty Status of the Head of Household, Marital Status of the Head of Household, Household Recipient of Assistance, Head of Household with Disabilities, Households with Credit. In addition, the ICC value also shows that 98 percent of the diversity of multidimensional poverty status of children in Nusa Tenggara Timur Province is caused by differences in characteristics between districts/cities.

Unduhan

Data unduhan belum tersedia.

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Unduhan

Diterbitkan

30-12-2024

Cara Mengutip

Gabur, M. S., Andriansyah, M., & Cengga, G. S. H. (2024). Determinan Kemiskinan Multidimensi Anak di Provinsi Nusa Tenggara Timur. Jurnal Statistika Terapan (JSTAR), 4(2), 29–54. https://doi.org/10.64930/jstar.v4i2.69

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