The Green Line and the Security Fence:

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24 Demographic factors include Age and Gender. All the displayed Age groups’ votes were *** (p < 0.001) significant; Age 74+ was a control group, while Age 18-25’ vote came out insignificant. Gender appeared to be non-significant. Ethnic background is represented by continents: Yemen for Asia, Morocco for Africa, Poland for Europe, and Latin America for itself. All are **** (p < 0.0001) significant and show the expected signs: the former two are pro Right, the latter two, pro-Left. The Religiosity factor is represented by Person_1 and Person 7+ variables, which are **** significant: the former has negative sign, the latter – positive. One can argue that this not a surprise, since this factor correlates with the previous one, but the fact that the ethnic background remains **** significant even after adding these two variables strongly shows that another independent parameter exists. Their **** significance ascertains that they grasp the essence of the Religiosity factor they represent. Social factors are represented by Income and Academic Degree; the latter is insignificant. The former splits into Poor and Rich and the number of cars in the family; people with 0 cars vote unclearly; the rest has expected signs of the coefficients: Poor and low middle class (owners of 1 car) vote pro-Right, Rich and high middle class (owners of 2 cars) vote pro-Left. F-statistics of the model drop after adding the social factor.
25 At the fifth level there were added the psychological and geographical factors: Log DGL together with DB and Location by Sea. The first was *** significant while the other two were insignificant. The coefficient -3 before the former shows that every 1 km farther away from the GL, the Right loses 3/DGL % of votes; i.e., near Jerusalem, about 1%; near Tel-Aviv, 3/20 = 0.15%; and near Haifa, 3/40 = 0.075% vote. The R-square of the model reached 0.644 with final F-statistic at 216. Adding all the countries for the Ethnic Background, not just several, improves R-square insignificantly to 0.68, while the overall F-statistics drop from 216 to 148 (mainly because of the large number of degrees of freedom = 26). 1999 Elections Running the same set of variables against the variable Netanyahu_99, we obtained practically the same results (Table 3). Again 1,811 localities were used, where Jews > 90% with 1 km < DGL < 60 km. The difference in Table 2 is that Polish background here featured insignificantly and was dropped. We tried continents instead, but again, Europe featured insignificantly and was dropped.
Page 1 and 2: The Green Line and the Security Fen
Page 3 and 4: 3 increase in the importance of the
Page 5 and 6: 5 Goemans 2001), 2 the two-ballot s
Page 7 and 8: 7 Jewish Israeli population) forced
Page 9 and 10: 9 Since the 1993 Oslo Accords, the
Page 11 and 12: 11 the Meretz Party, which was a pa
Page 13 and 14: 13 1. The first issue is that the c
Page 15 and 16: 15 regression, since the sign and s
Page 17 and 18: 17 made up of small communities. In
Page 19 and 20: 19 Israeli population was divided i
Page 21 and 22: 21 80% 60% 40% Each city is represe
Page 23: 23 the fifth level. After adding so
Page 27 and 28: 27 Analysis of the Results The fact
Page 29 and 30: 29 while statistical data from the
Page 31 and 32: 31 goodness of fit - the best is to
Page 33 and 34: 33 Category Variables B S.E. Wald S
Page 35 and 36: 35 1. The aggregate data analysis s
Page 37 and 38: 37 to vote Right in Tel Aviv (20 km
Page 39 and 40: 39 1 This is the old approach in Is
Page 41 and 42: 41 Masters degrees. We refer to the

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