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Item

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Analysis of Individual Medical Expenditure in Tanintharyi Region. (Ei Thu Thu Htet, 2024)

https://meral.edu.mm/records/9891
df986303-ede5-4f5b-a5bb-16f6bee68110
5fceea45-c663-4e19-86b6-72e4c4084708
None
Name / File License Actions
Ei Ei Thu Thu Htet Roll no 4 MAS 4th batch.pdf (587 KB)
Publication type
Thesis
Upload type
Other
Title
Title Analysis of Individual Medical Expenditure in Tanintharyi Region. (Ei Thu Thu Htet, 2024)
Language en
Publication date 2024-07-01
Authors
Ei Thu Thu Htet
Description
The issue of individual medical expenditure is a serious concern for policy
makers as well as the person concerned. This study aims to examine the individual
medical expenditure of the Tanintharyi Region. In particular, this study addresses
three modeling issues: (1) non-normal distribution, (2) non-constant variance of the
error, and (3) mass of zeros. Using the data source from Myanmar Living Condition
Survey (MLCS) 2017, individual health expenditure is modeled with use of hospital
facility, use of medical service, age, gender, and location. Ordinary least squares
(OLS) with robust standard error and generalized linear model (GLM) with different
combinations of link function and statistical distribution are used to address the first
two modeling issues. Two-part model with logistic function for the first part and
GLM for the second part is used to accommodate the third issue. Estimation results
indicate that use of hospital facility, use of medical services, and age are significant
determinants for individual medical expenditure. Moreover, the effect of the use of
medical services and hospital facility are dependent on the level of age. This study
suggests that the universal health insurance could be a potential solution to mitigate
the risk of an enormous medical expenditure and a comprehensive strategy that
integrates medical treatment, lifestyle changes, community assistance, and
precautionary steps can greatly improve the well-being of elderly individuals.
Thesis/dissertations
Yangon University of Economics
U Sun Htoo Aung
0
0
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