Table 4. Thresholds and heterogeneity models


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)    
*P<0.05, **P<0.01