The Green Line and the Security Fence:

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16 Jewish block in Samaria, 17 km away from the GL, but far away from the Security Fence, while several smaller settlements near the GL that appeared in the poll are much closer to the Security fence and hence are more insecure. Therefore, the DGL for cities beyond the GL first were set to zero, making them equally insecure. 3. Hypothesis A zero hypothesis is that the major factors, trio (ethnicity, religiosity and nationality) + social, are the only significant variables to explain the result of the Right-Left vote. An alternative hypothesis is that there is at least one more significant variable, which we designate as a psychological (security) factor. 4. Data Description The technical part of our research was alleviated due to two fortunate circumstances. The first was the availability of the powerful SPSS 10.0 Data Editor, which can perform multivariable regression analysis. Another piece of luck came from being able to obtain the special arrangement of data necessary for our research. The Israeli Central Bureau of Statistics had prepared a special “integrated” electronic file for the 1995 census and 1996 elections data for 2,257 statistical areas (Electronic File with Results of Israeli 1996 and 1999 Elections and 1995 Census, 2003, hereinafter, Census data). 24 The number of statistical areas came from the following arithmetic: There were 1,559 statistical areas comprising cities with population of more than 10,000, and 975 areas
17 made up of small communities. In the former, a city was subdivided into several statistical areas to achieve an average number of residents, about 2,000-4,000 in one area. It appears that both numbers had undergone an additional mixture: some 120 urban and 120 small statistical areas (each with small numbers of residents or voters) were grouped together with another small one, within the same geographical territory. Therefore, this nuisance factor does not influence our major parameters and conclusions. 25 a. Description of variables and units of measurements The dependent variables, Netanyahu_96 and Netanyahu_99, show the percentage of votes cast for Netanyahu personally in 1996 and 1999 respectively. 1. Ethnic Background This is represented by the percentage of those coming from the same country of origin {Turkey, Iraq, Yemen, Iran, Morocco, Libya, Tunisia, Ethiopia, Romania, Bulgaria, Germany, Poland, former USSR, Latin America, and North America} in a given statistical area. 26 2. Degree of Religiosity This parameter is not reported in the census. We identified it by the number of people in the family; variable Person_K shows families with K members. We use only Person_7+ (seven and more members) and Person_1 (one member), which we assume to represent the two poles – very religious and secular.
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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: 15 regression, since the sign and s
Page 19 and 20: 19 Israeli population was divided i
Page 21 and 22: 21 80% 60% 40% Each city is represe
Page 23 and 24: 23 the fifth level. After adding so
Page 25 and 26: 25 At the fifth level there were ad
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

The Green Line and the Security Fence:

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