OLS-model | SAR-model | SEM-model | |
---|---|---|---|
const | 3.892 (0.000) | 2.691 (0.000) | 3.901 (0.000) |
Damage | 0.0002 (0.032) | 0.0002 (0.010) | 0.0002 (0.002) |
Gender | 0.031 (0.767) | 0.030 (0.759) | 0.026 (0.784) |
Age | 0.006 (0.139) | 0.007 (0.0967) | 0.006 (0.102) |
Education | −0.270 (0.085) | −0.306 (0.033) | − 0.262 (0.061) |
Export | 0.119 (0.315) | 0.093 (0.394) | 0.076 (0.471) |
Mitigation | 0.390 (0.000) | 0.355 (0.000) | 0.371 (0.000) |
Insurance | −0.294 (0.022) | −0.272 (0.021) | − 0.306 (0.010) |
Loan | 0.364 (0.005) | 0.330 (0.005) | 0.320 (0.006) |
Risk | −0.215 (0.093) | −0.216 (0.066) | − 0.223 (0.052) |
Govt_res | 0.551 (0.001) | 0.520 (0.001) | 0.516 (0.001) |
Govt_prep | −0.376 (0.018) | −0.322 (0.027) | − 0.291 (0.038) |
BCP | −0.381 (0.000) | − 0.321 (0.000) | −0.289 (0.002) |
Business | 0.085 (0.493) | 0.101 (0.377) | 0.111 (0.323) |
Wy | – | 0.275 (0.001) | – |
Wu | – | – | 0.324 (0.001) |
R-squared | 0.269 | 0.310 | 0.310 |
AIC | 346.39 | 338.33 | 338.17 |
Moran’s I err | 0.164 (0.001) | 0.010 (0.922) | – |
LM-lag | 11.754 (0.000) | – | – |
LM-err | 9.496 (0.002) | – | – |
Robust LM-lag | 2.292 (0.130) | – | – |
Robust LM-err | 0.036 (0.847) | – | – |
n | 177 | 177 | 177 |