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The Palestinian Economy. Theoretical and Practical Challenges

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380<br />

Abu-Zaineh – Mataria<br />

Gaza Strip (GS)<br />

Tertiary-care<br />

Secondary-care<br />

(inpatient)<br />

Secondary-care<br />

(outpatient)<br />

Primray-care<br />

Need<br />

Income<br />

Education<br />

Insurance<br />

Activity status<br />

Marital status<br />

Place of Resid.<br />

Participation<br />

Condit. usage<br />

Other socioecon.<br />

Residual<br />

-0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25<br />

Figure 2b: Contribution to inequality<br />

Turning to the second part of our decomposition, results, which are also presented in<br />

Table 4.1 <strong>and</strong> Figures 4.2 (a-b), clearly show that, in all the cases, the contributions to<br />

inequity attributed to heterogeneity in behaviour with respect to the SES of groups are far<br />

from being negligible: the I B index, which emerges globally “pro-rich”, amounts to nearly<br />

30% of the total measured inequity (the HI index). Generally, this means that, given need<br />

<strong>and</strong> other individual characteristics, SES groups do behave differently with respect to<br />

both the “initial” decision of seeking health care, <strong>and</strong> the conditional “subsequent”<br />

contacts, <strong>and</strong> that this behaviour has a “pro-rich bias”. Indeed, the (partial) contribution of<br />

heterogeneity in behaviour (the I B index) to the total measured inequity is captured –<br />

separately from the distribution of explanatory variables by income – by the transition<br />

from a distribution where all SES subgroups, irrespective of their rank in the income<br />

distribution, are assumed to face the same parameter vectors (i.e., by imposing<br />

homogeneity in behaviour as embodied in parameters) to a distribution where these<br />

parameters are allowed to vary by income level. <strong>The</strong>refore, the results on the estimated<br />

values of the I B index, as measured by the systematic deviations of the specific-group<br />

parameters from the population-wide effect, clearly reveal, not only the prevalence of<br />

heterogeneity in practice for a given need, but also a “pro-rich” character of such practice.<br />

Hence, this may also be interpreted, as before: inequity in utilisation of health care would,<br />

ceteris paribus, be about 30% lower, if there were no heterogeneity in behaviour across<br />

income – or if the effects of both need <strong>and</strong> non-need factors did not vary by SES.

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