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The Palestinian Economy. Theoretical and Practical Challenges

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326<br />

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

Year (%)<br />

2000a 4.0 5.3 4.0 4.0 6.1<br />

2001 15.6 7.0 15.9 15.5 19.5<br />

2002 13.4 4.1 13.7 13.4 13.1<br />

2003 17.7 15.5 17.7 17.7 16.2<br />

2004 16.4 11.1 16.6 16.5 14.7<br />

2005 16.4 19.2 16.3 16.5 13.8<br />

2006 16.5 37.9 15.7 16.5 16.6<br />

Sample size (N) 41,789 1,501 40,288 40,806 983<br />

Note: a Data refers only to the 4th quarter. Source: Authors’ elaboration based on data from PCBS.<br />

Table 3: Child labour <strong>and</strong> school attendance rates by age group <strong>and</strong> year<br />

Working<br />

Child School<br />

Working Studying Neither<br />

<strong>and</strong><br />

labour attendance<br />

studying only only (1)+(2) (1)+(3)<br />

Total sample 3.0 0.6 94.7 1.7 3.6 97.6<br />

Age (%)<br />

10-12 years 2.0 0.1 96.9 1.0 2.1 98.9<br />

13-14 years 4.6 1.5 91.1 2.9 6.1 95.6<br />

Year (%)<br />

2000 3.4 1.3 93.0 2.3 4.7 96.4<br />

2001 1.0 0.6 96.0 2.4 1.6 97.1<br />

2002 0.6 0.5 97.1 1.9 1.1 97.7<br />

2003 2.5 0.7 95.4 1.5 3.1 97.8<br />

2004 1.9 0.6 96.0 1.5 2.4 97.9<br />

2005 3.6 0.6 94.4 1.4 4.2 98.0<br />

2006 7.5 0.8 90.2 1.6 8.3 97.6<br />

Source: Authors’ elaboration based on data from PCBS.<br />

5. Estimation results<br />

5.1. <strong>The</strong> effect of closure days on child labour <strong>and</strong> school attendance<br />

Table 4 reports the estimation results for the biprobit model described in Section 3. In<br />

Column 1 we estimate the effect of the number of closure days on child labour <strong>and</strong> school<br />

attendance controlling for the age of the child, the parents’ education level <strong>and</strong> for district

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