| Thresholds Model | Aboriginal Heterogeneity Model | Random Parameter Mixed Logit Model | ||||||||
| Adjusted Rho-Squared | 0.04237 | Adjusted Rho-Squared | 0.04014 | Adjusted Rho-Squared | 0.04014 | |||||
| Log Likelihood | -1016.413 | Log Likelihood | -1009.256 | Log Likelihood | -1009.256 | |||||
| Variable |
Coefficient |
(t-ratio) |
Variable |
Coefficient |
(t-ratio) |
Variable |
Coefficient |
(t-ratio) |
||
| Constant | -0.1958 | (-0.629) | Constant | -0.02573 | (-0.193) | Constant Mean | -0.0297 | (-0.146) | ||
| Jobs | 0.0171* | (2.000) | Jobs | 0.02169** | (3.577) | Jobs Mean | 0.0457** | (5.901) | ||
| Moose | 0.0050** | (4.942) | Moose | 0.00526** | (6.315) | Moose Mean | 0.0089** | (6.610) | ||
| Fish | 0.0265 | (1.650) | Fish | 0.02319 | (1.867) | Fish Mean | 0.0471** | (2.678) | ||
| Population | 0.0001 | (1.115) | Population | 0.00002 | (0.257) | Population Mean | 0.0001 | (0.864) | ||
| Jobs 10=50 | -0.1289 | (-0.749) | FN*Jobs 10 | 0.00392 | (0.279) | Jobs Standard Deviation | 0.0239 | (0.997) | ||
| Jobs 50=50 | -0.307 | (-1.725) | FN*Jobs 50 | 0.02434 | (1.638) | |||||
| Jobs 100=50 | -0.2155 | (-1.273) | FN*Jobs 100 | 0.01010 | (0.718) | |||||
| Moose 10=140 | -0.2212 | (-1.468) | FN*Moose 10 | -0.00004 | (-0.020) | Moose Standard Deviation | 0.0095** | (6.097) | ||
| Moose 50=140 | 0.1222 | (0.790) | FN*Moose 50 | 0.00009 | (-0.044) | |||||
| Moose 100=140 | -0.2993* | (-2.007) | FN*Moose 100 | 0.00304 | (1.549) | |||||
| Fish 10=2 | 0.1264 | (0.838) | FN*Fish 10 | -0.00669 | (-0.209) | Fish Standard Deviation | 0.0989** | (4.213) | ||
| Fish 50=2 | 0.0226 | (0.146) | FN*Fish 50 | -0.00290 | (-0.095) | |||||
| Fish 100=2 | -0.1253 | (-0.797) | FN*Fish 100 | 0.01473 | (0.458) | |||||
| Population 10=2298 | 0.1595 | (1.144) | FN*Population 10 | 0.00010 | (0.702) | Population Standard Deviation | 0.0009** | (6.333) | ||
| Population 50=2298 | 0.1184 | (0.819) | FN*Population 50 | 0.00021 | (1.457) | |||||
| Population 100=2298 | -0.0885 | (-0.624) | FN*Population 100 | 0.00005 | (0.308) | |||||