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The Palestinian Economy. Theoretical and Practical Challenges

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Proceedings “<strong>The</strong> <strong>Palestinian</strong> <strong>Economy</strong>: <strong>The</strong>oretical <strong>and</strong> <strong>Practical</strong> <strong>Challenges</strong>” 375<br />

As shown above, although the distributions of need serve to push the distribution of<br />

utilisation of the three levels of health care in a pro-poor direction, the divergence<br />

between overall use-inequality index (I y ) <strong>and</strong> the distributions of need (I N ) is, however,<br />

remarkable. <strong>The</strong> discrepancies between the “actual” <strong>and</strong> the “need-expected”<br />

distributions of utilisation indicate, therefore, the direction <strong>and</strong> magnitude of Horizontal<br />

Inequity (HI) index – defined as inequality not due to income-related differences in need,<br />

<strong>and</strong> computed as in Eq. (22) – i.e., by subtracting the contribution of need factors from<br />

the total inequality. Results on the HI index, which are also presented in Figure 4.1 with<br />

the corresponding 95% BTS confidence intervals, show that in all the cases, the values of<br />

HI index appear to be positive, in the range of [0.039; 0.213], <strong>and</strong> statistically<br />

significantly different than zero at p < 0.05. For all levels of health care, the WB region of<br />

the OPT shows significantly higher HI index values than GS. However, in the two<br />

regions, the magnitudes of HI index across the three levels of health care show generally<br />

similar patterns: the HI values are greater (i.e., very pro-rich) in the case of tertiary-care<br />

[HI = 0.2126 <strong>and</strong> 0.1945, for the WB <strong>and</strong> GS, respectively] <strong>and</strong> secondary-inpatient case<br />

[HI = 0.0954 <strong>and</strong> 0.0484, for the WB <strong>and</strong> GS, respectively], while they appear to be<br />

smaller (i.e., less pro-rich) in the case of primary-care [HI = 0.0398 <strong>and</strong> 0.0357 for the<br />

WB <strong>and</strong> GS, respectively], <strong>and</strong> secondary-outpatient case [HI = 0.0789 <strong>and</strong> 0.0413 for<br />

the WB <strong>and</strong> GS, respectively].<br />

<strong>The</strong> above suggest that, for a given level of need, the better-off make greater use of,<br />

<strong>and</strong> receive in proportion more, health care than the “poor”. Results, which hold true for<br />

all levels of health care, clearly indicate significant contributions of “other” non-need<br />

factors (I NN ) in generating the total level of inequality in utilisation. As illustrated above,<br />

the observed non-zero values of HI index can be mechanically disentangled in terms of<br />

two parts, I V <strong>and</strong> I B , reflecting, respectively, two distinct channels of influence: the<br />

effects (on ŷ) operating through the inter-personal variations in the x k ’s across income<br />

(the I V ), <strong>and</strong> the effects operating through the inter-group variations in the estimated<br />

parameters across income range (the I B ). Detailed results on each part of the<br />

decomposition are also presented in Table 4.1. Broadly interpreted, the I V would tell us –<br />

for all x k combined (or for each x k in turn) – the extent to which the observed inequality<br />

(in ŷ) is due to socioeconomic inequalities, whereas, the I B show – for a given level of<br />

need – the extent to which inequalities in ŷ are due to heterogeneity in behaviour (or<br />

practice) of the socioeconomic groups.

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