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The Palestinian Economy. Theoretical and Practical Challenges

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408<br />

Makhool<br />

Table 5: West Bank <strong>and</strong> Gaza: Parameter estimates for the log odds of<br />

unemployed respondents relative to fully employed: <strong>The</strong> values under B’s<br />

coefficient indicate log odds ratio associated with each effect, while the<br />

values under E(B) indicate the odds- ratio.<br />

Independent<br />

Variables<br />

’s<br />

coefficient<br />

St<strong>and</strong>ard<br />

error<br />

E( ) Wald test Significance<br />

Sex<br />

Male .546 .009 1.726 3420.227 .000<br />

Female 0(b) . . . .<br />

Age<br />

15-19 .804 .017 2.234 2206.788 .000<br />

20-24 .950 .014 2.586 4417.769 .000<br />

25-29 .535 .013 1.707 1617.158 .000<br />

30-34 .454 .013 1.575 1208.596 .000<br />

35-39 .483 .013 1.621 1306.040 .000<br />

40-44 .436 .014 1.547 974.393 .000<br />

45-49 .324 .016 1.382 432.061 .000<br />

50 <strong>and</strong> over 0(b) . . . .<br />

Years of schooling<br />

No education 0.987 .026 2.684 1407.296 .000<br />

Primary education 1.495 .010 4.459 20910.382 .000<br />

Secondary education 1.253 .009 3.501 17650.447 .000<br />

High education 0.941 .009 2.562 11761.813 .000<br />

College <strong>and</strong> university 0(b) . . . .<br />

District<br />

Jenin .830 .013 2.293 3906.770 .000<br />

Tubas .406 .025 1.500 256.327 .000<br />

Tulkarem .212 .016 1.236 168.216 .000<br />

Nablus .251 .013 1.285 394.525 .000<br />

Qalqilya .521 .020 1.684 653.298 .000<br />

Salfit .699 .024 2.012 855.346 .000<br />

Ramallah -.211 .014 .810 238.513 .000<br />

Jericho -1.337 .038 .263 1232.163 .000<br />

Jerusalem -.340 .012 .712 790.180 .000<br />

Bethlehem -.504 .017 .604 889.991 .000<br />

Hebron 0(b) . . . .<br />

North Gaza -.006 .019 .994 .106 .745<br />

Gaza city -.061 .017 .941 12.250 .000<br />

Deer al balah .030 .020 1.030 2.361 .124<br />

Khan younis .170 .019 1.186 84.216 .000<br />

Rafah 0(b) . . . .

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