The Green Line and the Security Fence:
The Green Line and the Security Fence:
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.