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Journal : Ecosains

Faktor Sosio-Ekonomi yang Mempengaruhi Kualitas Tidur Pada Individu Cerai Mati di Indonesia Salim, Prasetya Rahman; Avia, Zahra; Sihaloho, Estro Dariatno
Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan Vol 12, No 2 (2023): Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan (November 2023)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ecosains.12632757.00

Abstract

Losing a spouse is one of the most stressful events in a person's life. Meanwhile, stress is one of the triggers for health problems. Using IFLS 2014 as data and logistic regression as a method, we found that depressive symptoms, smoking habits, education level, and living in urban areas have a positive correlation with the probability of widows having poor sleep quality. This can increase the probability of having diabetes and cardiovascular diseases that can lead to death. The support of the closest family is expected to help the widow have better sleep quality.
Pengaruh Demografi dan Ekonomi Terhadap Pengeluaran Kesehatan Studi Kasus di ASEAN Panogu, Mateus Arif; Sihaloho, Estro Dariatno
Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan Vol 13, No 2 (2024): Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan (November 2024)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ecosains.12864257.00

Abstract

The countries that are a part of the Association of Southeast Asian Nation (ASEAN) exhibit dynamic demographic and economic charateristics. This study aims to analyze the relationship between GDP per capita, the precentage of the population aged 65 and above, and the level of urbanization on healthcare expenditure in ASEAN countries, thereby providing deeper insights into healthcare spending in the ASEAN regions. Additionally, another objetive of this study is to identify the key factors influencing healthcare expenditure in ASEAN countries. The methodology employed in this study is panel data analysis, which includes three models: Pooled Ordinary Least Squares (POLS), Fixed Effect Model, and Random Effect Model. To determine the appropriate model for the study, statistical tests will be conducted. The statistical tests utilized in this study are the Chow Test and the Hausmant Test. The results indicates that the percentage of the population aged 65 and above, the level of urbanization, and GDP per capita have significant impacts on healthcare expenditure. Futhermore, the perentage of the population aged 65 and above has the most substantial impact compared to the level of urbanization and GDP per capita.