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The Palestinian Economy. Theoretical and Practical Challenges

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322<br />

Di Maio – N<strong>and</strong>i<br />

West Bank, but it is mainly led by the military consideration by the Israeli Army. If this is<br />

the case, one may expect the number of closure days to respond to an increase in the<br />

violence between the two opponents. This implies that, for our estimation strategy to be<br />

valid, we also need to exclude the possible endogeneity between the number of closure<br />

days <strong>and</strong> the rate of school attendance. <strong>The</strong> reason is – as pointed out by Rodriguez <strong>and</strong><br />

Sanchez (2009) – that in a context of conflict being a drop out may increase rebellion <strong>and</strong><br />

violence in the child. Similarly, it is very likely that if being out-of school is positively<br />

correlated with the child involved in the confrontation with the Israeli Army, it would<br />

also influence the number of closure days. To check the existence of this mechanism (the<br />

number of closure days being a response to the increase in the violence by children who<br />

are not attending school), we compute the correlation between the rate of school<br />

attendance <strong>and</strong> the number of closure days, which is our proxy of the intensity of the<br />

conflict. <strong>The</strong> results (not reported) show that correlation between the number of closure<br />

days <strong>and</strong> the rate of school non-attendance is small <strong>and</strong> statistically insignificant. Based<br />

on this evidence, we thus exclude the possibility of reverse causality between the number<br />

of closure days <strong>and</strong> school attendance.<br />

Table 1: Labour market conditions in West Bank <strong>and</strong> the number of closure days<br />

Number of closure days (1) (2) (3) (4) (5) (6) (7)<br />

average wage in WB (previous quarter) 1.60 1.67 2.08 1.67<br />

(1.16) (1.23) (1.33)<br />

(1.47<br />

)<br />

unemployment rate in WB (previous quarter) 0.26 0.41 0.57 0.41<br />

(1.62) (1.69) (1.71)<br />

(1.55<br />

)<br />

average unskilled wage in WB (previous quarter) -0.63 -0.92 -0.91<br />

(0.85) (0.90)<br />

(0.93<br />

)<br />

no.closure days (previous quarter) -0.36 -0.33<br />

(0.21) (0.22<br />

)<br />

F-test 0.028 0.026 0.006 0.003 0.074 0.022<br />

0.01<br />

6<br />

R2 0.52 0.49 0.51 0.56 0.52 0.55 0.61<br />

# observations 24 24 24 24 24 24 24<br />

Note: In all specifications the dependent variable is the quarterly number of effective closures<br />

days. Effective closure days are comprehensive closures net of Saturdays, half the number of<br />

Fridays <strong>and</strong> Jewish <strong>and</strong> Muslim holidays. OLS regression, robust st<strong>and</strong>ard errors in parenthesis.<br />

All regressions include a constant <strong>and</strong> year fixed effect.

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