Estimation of Health Insurance Ownership of Each District in Surabaya Using Small Area Estimation with Hierarchical Bayes Approach
Rifda Zukhrufi Almas*, Agnes Tuti Rumiati, Heri Kuswanto

Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
*rifdazukhrufia15[at]gmail.com

Abstract

The development goals of an area can be achieved if the welfare of the community occurs as a whole. Community welfare includes economic capacity, access to education, and health services. The program that is carried out to realize the SDGs in the health sector is the Program Indonesia Sehat with 3 pillars, namely the healthy paradigm, health services and national health insurance. Health insurance is gradually being applied to all Indonesian residents with the aim of ensuring that participants receive health care benefits and health protection. This study focuses on the level of ownership of health insurance in Surabaya. The data on the percentage of ownership of health insurance available so far can only be known at the city level. Therefore, the method used in this research is Small Area Estimation (SAE) using Hierarchical Bayes (HB) approach. SAE is used to estimate parameters by using auxiliary variable information, and produces a smaller bias than direct estimation. The data source for this research is secondary data obtained from the results of the 2020 Survey Sosial Ekonomi Nasional (Susenas) and publications by the Central Bureau of Statistics (BPS). The auxilary variables consist of characteristics that are thought to be related to the percentage of ownership of health insurance, namely, the percentage of the productive age group, population density, percentage of the working population, ratio of educational facilities, ratio of facilities to anticipate/mitigate natural disasters, ratio of economic facilities, ratio of BTS (Base Transceiver Station), and ratio of health facilities.

Keywords: Health Insurance- Hierarchical Bayes- SAE- SDGs

Topic: MATHEMATICS AND STATISTICS