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The 1995/1996 Household Income, Expenditure - (PDF, 101 mb ...

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VIII. 6<br />

level, additional educational attainment affects medical expenditures negatively.<br />

An intuitive interpretation is that additional education serves to keep the<br />

household ever healthier. <strong>The</strong> coefficients on total expenditure suggest that 4<br />

piasters of each additional £E spent by the household will go to medical goods<br />

and services - in line with the overall budget shares. An unexpected and<br />

significant finding is that additional household me<strong>mb</strong>ers are associated with<br />

smaller overall medical expenditures - one additional me<strong>mb</strong>er will decrease<br />

medical expenditures 5.62 £E in 1990/1991 and 12.93 £E in <strong>1995</strong>/<strong>1996</strong> - this is<br />

probably a co<strong>mb</strong>ination of budget strain and household scale economies. We<br />

will see a similar relationship (next section) of household size to per capita<br />

medical expenditures. <strong>The</strong> regions having the lowest expenditures (the<br />

numeraire is Cairo) are, expectedly, in Upper Egypt and the Frontier<br />

governorates.<br />

VIlLC <strong>1995</strong>/<strong>1996</strong> <strong>Household</strong> Average and Per Capita Medical <strong>Expenditure</strong>s<br />

Regional and household-size breakdowns of per capita expenditures on<br />

medical goods and services in the recent survey (Tables VIIl.3 and VIllA)<br />

point clearly to differential access based on geography. Per capita<br />

expenditures on medical goods and services in the rural areas are only about<br />

one-half what they are in urban areas. Not surprisingly, in average terms<br />

the regional distribution of medical expenditures parallels the regional<br />

distribution of total expenditures (see Table Il.3), and per capita expenditures<br />

are similar. <strong>The</strong> budget shares shown in Table VIlL3 are different from the<br />

shares shown above for two reasons: a) they are not equivalence-adjusted,<br />

and b) they are formed as a less-biased ratio of sample-summed numerator<br />

over sample-summed denominator instead of as an average of household-level<br />

ratios (as above).<br />

Both average and per capita expenditures for medical goods and<br />

services fall over most of the curve as household me<strong>mb</strong>ers increase; there is a<br />

point, after ten me<strong>mb</strong>ers, when both curves bend upward. As households<br />

grow in size their me<strong>mb</strong>ers receive an ever declining share of medical<br />

expenditures. Naturally the standard errors of the estimates in Table VIIlA<br />

fall with the nu<strong>mb</strong>er of cases and rise with the nu<strong>mb</strong>er of household me<strong>mb</strong>ers<br />

(keeping precise track of many expenditure sources being more complicated).<br />

VIlLD Conclusion<br />

Admittedly there are a nu<strong>mb</strong>er of extensions 2 to make to the analysis of<br />

medical expenditures. A focus on the distribution of insurance payments<br />

would serve to broaden the understanding of in-kind payments made to<br />

employees, and would inform models correlating illness prevention with<br />

incidence. In two other health related surveys in Egypt, the National<br />

<strong>Household</strong> Health Care Utilization and <strong>Expenditure</strong> Survey, and the linked<br />

Provider Survey, the Cairo Demographic Center and the Egyptian Ministry of<br />

Health estimated that 70% of the surveyed population was not covered by any<br />

2 Scott Moreland of the Population Project Consortium of Egypt (PPC)<br />

suggested these classifications.

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