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The Green Line and the Security Fence:

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26<br />

Category Variables I II III IV V<br />

Constant 100.52 82.278 51.516 56.857 62.208<br />

AGE25_44 -1.004 -1.079 -.460 -.417 -.421<br />

Demography AGE45_64 -1.554 -1.447 -.754 -.552 -.545<br />

AGE65_74 -.233 .220 1.008 .461 .544<br />

ASIA .479 .364 .302 .287<br />

Origin AFRICA .477 .326 .227 .225<br />

LATIN_AMER -1.308 -.880 -.996 -1.074<br />

Religiosity PERSON1 -.264 -.539 -.568<br />

PERSON7 1.749 1.238 1.179<br />

POOR .117 .118<br />

RICH -.138 -.135<br />

Income CARS0 .174 .198<br />

CARS1 .116 .142**<br />

CARS2 -.369 -.366<br />

Psychology LOG_DGL -2.676<br />

R-square .145 .419 .594 .700 .707<br />

F-statistics 101 217 329 322 309<br />

Dependent Variable: Netanyahu_99<br />

Table 3. Pro-Netanyahu Vote in 1999 Elections – Five-level Model<br />

This time only <strong>the</strong> variable Cars_1 dropped in significance, while <strong>the</strong> overall picture is<br />

practically <strong>the</strong> same: all <strong>the</strong> variables have <strong>the</strong> expected signs <strong>and</strong> are highly significant.<br />

Again, F-statistics dropped at <strong>the</strong> fourth <strong>and</strong> fifth levels. Again, <strong>the</strong> DGL was ***<br />

significant, while <strong>the</strong> DB <strong>and</strong> Location by Sea were insignificant. <strong>The</strong> coefficient -2.6<br />

before <strong>the</strong> DGL shows that Fear was slightly reduced: every 1 km away from <strong>the</strong> GL, <strong>the</strong><br />

Right loses 2.6/DGL % of votes.<br />

<strong>The</strong> R-square of <strong>the</strong> model reached 0.7 with final F-statistic at 309. Adding for Ethnic<br />

Background <strong>the</strong> 16 countries of origin instead of continents does slightly improve R-<br />

square to 0.75, but again causes final F-statistics to drop from 309 to 202.

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