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Determinants Of Household Health Expenditure: Case Of Urban Orissa

Author

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  • Bhabesh, Sen
  • Himanshu Sekhar, Rout

Abstract

Little attention has been given to the micro aspects of health research by the researchers, government, policy makers and development planners. In this connection, the objective of the paper is to increase awareness – not only among health researchers but also among policy makers and practitioners who use health research findings – about the influence of socioeconomic characteristics in terms of income and education on household health expenditures, as well as to encourage improved approaches. The study finds that income of the household has significant influence on its health expenditure where as the effect of education is insignificant. From the study it is found that as disposable income of the household increases, individual takes more care of his life, hence, health expenditure increases but at a particular level of income, due to high life risk, health expenditure becomes independent of income and perfectly elastic, which is termed as “High Life Risk Path (HLRP)”. The health expenditure during HLRP depends on household’s past saving and loanable capacity.

Suggested Citation

  • Bhabesh, Sen & Himanshu Sekhar, Rout, 2007. "Determinants Of Household Health Expenditure: Case Of Urban Orissa," MPRA Paper 6489, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:6489
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    Cited by:

    1. Gounder, Rukmani & Xing, Zhongwei, 2012. "Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji," Economic Modelling, Elsevier, vol. 29(3), pages 787-794.
    2. Mohammad Javad Razmi & Ezatollah Abbasian & Sahar Mohammadi, 2012. "Investigating the Effect of Government Health Expenditure on HDI in Iran," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(5), pages 1-8, October.

    More about this item

    Keywords

    Household Health Expenditure; Urban Orissa; Income; Education;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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