The Palestinian Economy. Theoretical and Practical Challenges
The Palestinian Economy. Theoretical and Practical Challenges
The Palestinian Economy. Theoretical and Practical Challenges
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Proceedings “<strong>The</strong> <strong>Palestinian</strong> <strong>Economy</strong>: <strong>The</strong>oretical <strong>and</strong> <strong>Practical</strong> <strong>Challenges</strong>” 403<br />
5. Results<br />
5.1. West Bank <strong>and</strong> Gaza<br />
Overall Performance of the model<br />
<strong>The</strong> pseudo R-square measures indicate that the model performs fairly well. <strong>The</strong><br />
Nagelkerke R-square value will usually be the most relevant to report .It corrects the Cox<br />
<strong>and</strong> snell value so that it can theoretically achieve a value of 1. <strong>The</strong>se pseudo R-squared<br />
confound goodness of fit <strong>and</strong> explanatory power of the model (See Table 1). 2<br />
Table 1: Pseudo R-Square<br />
Cox <strong>and</strong> Snell .250<br />
Nagelkerke .316<br />
McFadden .184<br />
<strong>The</strong> most interesting result here is that the chi- square value of 228315.311 with 72<br />
degrees of freedom is highly significant, this means that the null hypothesis that all<br />
effects of the independent variable are zero can be rejected (See Table 2).<br />
Table 2: Model Fitting Information<br />
Model Log Likelihood Chi-Square df Sig.<br />
Intercept Only 644213.951<br />
Final 415898.640 228315.311 72 .000<br />
<strong>The</strong> likelihood ratio test evaluates the overall relationship between an independent<br />
variable <strong>and</strong> the dependent variable. <strong>The</strong>re are statistically significant relationships<br />
between the independent variables (years of schooling, sex, age, district, locality type,<br />
2 Cox <strong>and</strong> Snell’s R-Square is an attempt to imitate the interpretation of multiple R-Square based on the<br />
likelihood, but its maximum can be (<strong>and</strong> usually is) less than 1.0, making it difficult to interpret.<br />
Nagelkerke’s R-Square is a further modification of the Cox <strong>and</strong> Snell coefficient to assure that it can vary<br />
from 0 to 1. That is, Nagelkerke’s R 2 divides Cox <strong>and</strong> Snell’s R 2 by its maximum in order to achieve a<br />
measure that ranges from 0 to 1. <strong>The</strong>refore Nagelkerke’s R 2 will normally be higher than the Cox <strong>and</strong> Snell<br />
measure but will tend to run lower than the corresponding OLS R 2 .