The Palestinian Economy. Theoretical and Practical Challenges

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Proceedings “The Palestinian Economy: Theoretical and Practical Challenges” 405 unemployed when compared to those with college education. This result could be explained based on the fact that uneducated people have more options in the labour market in terms of availability of unskilled jobs, low paying jobs mainly in agriculture and service sectors. Locality: the respondents who live in urban areas are less likely to be underemployed or unemployed rather than to be fully employed when compared to those living in rural areas and refugee camps. Age: the age group 20-24 years are more likely (3.078 times more) to be underemployed rather than to be fully employment. The effect is strongest in the age group 20-24 and weakest for 45-49 years of age. Also, individuals in the age group 20-24 were more likely (2.586 times more) to be unemployed rather than to be fully employed. The effect is strongest for those in the age group 20-24 and weakest for those older than 49 years old. Activity: for the employed respondents, those who work in construction are more likely (4.481) to be underemployed rather than to be fully employed. The effect is strongest for the respondent that work in construction and weakest for the respondents that work in commerce –hotels. Also, respondents who work in commerce and hotels are .057 times less likely than the respondents who work in services to be unemployed rather than to be fully employed. Social Status: married respondents are less likely (0.701 times less) to be underemployed rather than to be fully employed. The effect is strongest for married respondents and weakest for the never married. Also, never married respondents are more likely (1.831 times more) to be unemployed rather than to be full employed. The effect is strongest for the never married and weakest for married respondents. Region: respondents living in West Bank are less likely (0.417 times less) to be underemployed rather than to be fully employed when compared to those living in Gaza strip to be underemployed rather than to be full employed. Also, those who live in West Bank are 0.897 times less likely than the respondents who live in Gaza strip to be unemployed rather than to be fully employed.
406 Makhool Districts: respondents living in the following areas: Jenin, Tubas, Tulkarem, Nablus, Qalqilya, Salfit, Ramallah, Jerusalem, Bethlehem, and Gaza city are more likely to be underemployed rather than to be fully employed. The effect is strongest for those living in Qalqilya and weakest for respondents living in Gaza city. For example, respondents living in Qalqilya are 19.638 times more likely than those living in Rafah to be underemployed rather than to be fully employed. Also, respondents living in the following areas: Jenin, Tubas, Tulkarem, Nablus, Qalqilya, Salfit, Deer al-Balah and Khanyonis are more likely to be unemployed rather than to be fully employed. The effect is strongest for those living in Jenin and weakest for the respondents living in Deer albalah. The results indicate that the respondents living in Jenin are 2.293 times more likely than those living in Rafah to be unemployed rather than to be fully employed. While respondents living in the following areas: Ramallah, Jericho, Jerusalem, Bethlehem, North Gaza, and Gaza City are less likely to be unemployment rather than to be fully employed. For example, respondents living in Jericho are .263 times less likely than those living in Rafah to be unemployed rather than to be fully employed. Table 4: West Bank and Gaza: Parameter estimates for the log odds of underemployed respondents relative to fully employed: The values under B’s coefficient indicate log odds ratio associated with each effect, while the values under E (B) indicate the odds- ratio. Independent Variables ’s coefficient Standard error E( ) Wald test Significance Sex Male 1.239 .020 3.452 3983.320 .000 Female 0(b) . . . . Age 15-19 .783 .017 2.189 560.685 .000 20-24 1.124 .018 3.078 1641.617 .000 25-29 1.047 .025 2.849 1720.870 .000 30-34 1.065 .024 2.901 1914.824 .000 35-39 1.061 .025 2.890 1844.633 .000 40-44 .823 .026 2.277 1009.148 .000 45-49 .756 .028 2.130 714.049 .000 50 and over 0(b) . . . . Years of schooling No education -.436 .049 .647 80.482 .001 Primary education .156 .018 1.169 78.260 .000
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The Palestinian Economy Theoretical
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© Gianni Vaggi - Marco Missaglia -
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VOLUME II
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246 Zagha 1. Introduction The local
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248 Zagha and groups in political d
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250 Zagha drawbacks in the politica
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252 Zagha it is not surprising that
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254 Zagha economy (including expend
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256 Zagha social norms sharply dist
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258 Zagha Bird (1995) puts it, info
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260 Zagha intergovernmental fiscal
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262 Zagha low rate flat tax levied
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264 Zagha need to be given access t
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266 Zagha Such failures are found i
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268 Zagha 4.1.3. The Relationship b
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270 Zagha a final account report of
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272 Zagha 4.1.6. Functions of LGUs
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274 Zagha • Management of LGU ass
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276 Zagha Figure 2: Local Governmen
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278 Zagha In summary, what the data
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280 Zagha on the cash basis. Almost
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282 Zagha Figure 7: Business Opinio
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284 Zagha within the Palestinian na
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286 Zagha Table 5: Number of NGOs i
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288 Zagha Fiscal decentralisation i
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290 Zagha Burki, J., Perry, G., Dil
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292 Zagha Palestinian Legislative C
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Issues, Performance and Trajectorie
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The Effect of the Israeli-Palestini
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Assessing the Causes of Inequality
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