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  <responseDate>2026-07-26T16:32:18Z</responseDate>
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      <header>
        <identifier>oai:meral.edu.mm:recid/00009891</identifier>
        <datestamp>2024-09-30T05:49:13Z</datestamp>
        <setSpec>1582963436320:1582965763232</setSpec>
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          <dc:title>Analysis of Individual Medical Expenditure in Tanintharyi Region. (Ei Thu Thu Htet, 2024)</dc:title>
          <dc:creator>Ei Thu Thu Htet</dc:creator>
          <dc: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.</dc:description>
          <dc:date>2024-07-01</dc:date>
          <dc:identifier>https://meral.edu.mm/records/9891</dc:identifier>
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