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     Research Journal of Mathematics and Statistics

    Abstract
2014(Vol.6, Issue:2)
Article Information:

Catalogistico Discriminant Analysis: A Methodology for Analyzing Catastrophic Spending on Health in Statistically Under-developed Countries

Felix O. Mettle, Abeku A. Asare-Kumi, Isaac K. Baidoo and Ezekiel N.N. Nortey
Corresponding Author:  Abeku A. Asare-Kumi 
Submitted: December 04, 2013
Accepted: December 26, 2013
Published: May 25, 2014
Abstract:
This study proposes a methodology for analysis of catastrophic spending on health in statistically under-developed countries. A binary logistic regression model, based on data from households with reported non-zero expenditure on health, is proposed for the estimation of the likelihood of spending on health for all households irrespective of whether they spent on health or not within the reference period for the survey. “Univariate” discriminant functions, also based on data from households who spent on health within the reference period of the survey, were proposed for discriminating households that made catastrophic expenditure on health from those who did not. An application of this methodology to the data from the Ghana living Standards survey (round V) indicates that the binary logistic regression model estimates correctly at least 78% of household’s likelihood of spending on health while correctly discriminating the households as having a catastrophic expenditure.

Key words:  Binary logistic regression, catastrophic health expenditure, discriminant analysis, survey reference period, , ,
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Cite this Reference:
Felix O. Mettle, Abeku A. Asare-Kumi, Isaac K. Baidoo and Ezekiel N.N. Nortey, . Catalogistico Discriminant Analysis: A Methodology for Analyzing Catastrophic Spending on Health in Statistically Under-developed Countries. Research Journal of Mathematics and Statistics, (2): 16-22.
ISSN (Online):  2040-7505
ISSN (Print):   2042-2024
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