Table 6. Country-specific models
Dependent variable is protect.
Australia |
W.German E.German |
Britain |
USA |
Austria |
Hungary |
Italy | ||
У |
У | |||||||
Patriotism |
0.240 |
0.128 |
0.246 |
0.159 |
0.286 |
0.057 |
0.053 |
0.174 |
(5.63) |
(2.07) |
(2.52) |
(2.78) |
(5.39) |
(1.09) |
(0.98) |
(3.91) | |
Chauvinism |
0.344 |
0.425 |
0.433 |
0.510 |
0.419 |
0.454 |
0.225 |
0.299 |
(9.76) |
(7.12) |
(4.85) |
(9.18) |
(9.54) |
(8.97) |
(4.62) |
(6.01) | |
Skill345 |
-0.216 (-4.04) |
-0.318 (-3.59) |
-0.191 (-1.40) |
-0.352 (-4.38) |
-0.300 (-4.58) |
-0.201 (-2.20) |
-0.035 (-0.41) | |
National mobility |
0.029 |
-0.215 |
-0.338 |
0.089 |
0.056 |
-0.158 |
-0.052 |
0.069 |
(0.51) |
(-2.23) |
(-2.38) |
(1.08) |
(0.74) |
(-1.94) |
(-0.62) |
(0.94) | |
International mobility |
-0.119 |
-0.187 |
-0.123 |
-0.124 |
0.001 |
-0.154 |
-0.160 |
-0.027 |
(-1.76) |
(-1.77) |
(-0.63) |
(-1.28) |
(0.01) |
(-1.33) |
(-1.22) |
(-0.31) | |
Never lived abroad |
0.102 |
0.188 |
0.443 |
0.073 |
0.099 |
0.174 |
-0.103 |
0.271 |
(1.81) |
(1.66) |
(1.47) |
(0.84) |
(1.31) |
(1.77) |
(-0.73) |
(2.64) | |
Age |
0.003 |
-0.002 |
-0.013 |
0.003 |
0.002 |
-0.003 |
0.005 |
0.000 |
(1.66) |
(-0.37) |
(-1.96) |
(1.08) |
(1.18) |
(-1.38) |
(1.90) |
(0.19) | |
Woman |
0.333 |
0.405 |
0.680 |
0.191 |
0.155 |
0.311 |
0.074 |
0.215 |
(6.29) |
(4.53) |
(5.06) |
(2.54) |
(2.44) |
(4.34) |
(0.98) |
(3.28) | |
Married |
-0.060 |
-0.199 |
0.125 |
0.005 |
0.113 |
0.180 |
0.010 |
0.152 |
(-0.99) |
(-2.06) |
(0.82) |
(0.07) |
(1.79) |
(2.44) |
(0.14) |
(2.09) | |
Catholic |
0.083 |
0.014 |
-0.166 |
0.077 |
-0.031 |
-0.076 |
-0.033 |
-0.130 |
(L33) |
(0.16) |
(-0.46) |
(0.61) |
(-0.42) |
(-0.83) |
(-0.42) |
(-0.84) | |
Cutl |
-0.321 |
-0.177 |
0.047 |
-0.100 |
0.529 |
-0.173 |
-0.961 |
0.228 |
Cut2 |
0.863 |
0.971 |
1.255 |
1.228 |
1.431 |
0.750 |
-0.291 |
1.050 |
Cut3 |
1.401 |
1.728 |
1.912 |
2.040 |
2.223 |
1.267 |
0.468 |
1.567 |
Cut4 |
2.679 |
2.716 |
2.888 |
3.325 |
3.546 |
2.226 |
1.172 |
2.535 |
Number of obs |
1827 |
648 |
285 |
906 |
1225 |
985 |
930 |
1084 |
LR chi2 |
313.120 |
179.890 |
104.600 |
243.020 |
276.110 |
226.380 |
50.160 |
124.830 |
Prob > chi2 |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
0.000 |
Pseudo R2 |
0.067 |
0.091 |
0.120 |
0.098 |
0.083 |
0.083 |
0.021 |
0.039 |
Log likelihood______■ |
-2164.910 |
-899.460 |
-385.137 |
-1113.125 |
-1535.116 |
-1255.603 |
-1188.651 |
-1553.800 |
Source : see text. Т-statistics are in parentheses.
34
More intriguing information
1. A Duality Approach to Testing the Economic Behaviour of Dairy-Marketing Co-operatives: The Case of Ireland2. Program Semantics and Classical Logic
3. The bank lending channel of monetary policy: identification and estimation using Portuguese micro bank data
4. Iconic memory or icon?
5. Group cooperation, inclusion and disaffected pupils: some responses to informal learning in the music classroom
6. Migrant Business Networks and FDI
7. The Folklore of Sorting Algorithms
8. The name is absent
9. Monetary Discretion, Pricing Complementarity and Dynamic Multiple Equilibria
10. The name is absent