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All Journal GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Jurnal Indonesia Sosial Sains Jurnal Statistika Industri dan Komputasi
Suparna Parwodiwiyono
Badan Pusat Statistik Provinsi Daerah Istimewa Yogyakarta
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Physics Social Sciences

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Journal : Jurnal Indonesia Sosial Sains

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DETERMINAN PENDUDUK LANJUT USIA MISKIN DI DAERAH ISTIMEWA YOGYAKARTA Suparna Parwodiwiyono
Jurnal Indonesia Sosial Sains Vol. 3 No. 03 (2022): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1185.863 KB) | DOI: 10.59141/jiss.v3i03.510

Abstract

Elderly population is someone who has reached the age of 60 years or more and some of them live in poverty. This study aims to look at the characteristics of elderly poverty in the Yogyakarta Special Region, both in terms of size and related determinants of elderly poverty. The research is based on secondary data from the March 2019 National Socio-Economic Survey. The descriptive analysis was followed by inferencing with the logistic regression method. Based on the Statistics Indonesia poverty line criteria and per capita calculations, it was found that the number of poor elderly people in the Yogyakarta Special Region was 96,412 people or about 17.4 percent of all elderly people in the area. If the poverty line rises to 1.2 times, the elderly poverty rate in the Yogyakarta Special Region will increase sharply to 27.4 percent. If we use the equivalent household member criteria, the percentage of poor elderly in the Yogyakarta Special Region gets a much smaller value. The statistical model shows that the area of residence, the highest education level of the elderly, the elderly jobs, social security with government contribution assistance recipients, and the number of household members, and age groups are important determinants of the poverty status of the elderly in the Yogyakarta Special Region. Specific policies are needed, especially increasing health insurance coverage for the poor elderly.
Co-Authors Witono Witono