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. On the estimation of hospital cost: the approach2. Linking Indigenous Social Capital to a Global Economy
3. CGE modelling of the resources boom in Indonesia and Australia using TERM
4. The name is absent
5. Sectoral specialisation in the EU a macroeconomic perspective
6. Behavioural Characteristics and Financial Distress
7. The name is absent
8. The name is absent
9. Return Predictability and Stock Market Crashes in a Simple Rational Expectations Model
10. Estimation of marginal abatement costs for undesirable outputs in India's power generation sector: An output distance function approach.