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.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
6489.
Length: Date of creation: 2007 Date of revision: Publication status: Published in Utkal Economic Papers 1.XIII(2007): pp. 17-23 Handle: RePEc:pra:mprapa:6489
Find related papers by JEL classification: C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: 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