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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 .

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