Table 5.

Parameter Estimates for the 24-Site Location Model

ParameterMNLMNLHMNPMNPHSMNPSMNPH
Distance- 16.3974**- 16.5838**- 6.1024**- 6.2181**- 8.5958**- 7.5736**
(0.33)(0.32)(0.73)(0.70)(0.91)(0.84)
Revenues0.0568**0.0578**0.0373**0.0214**0.0321**0.0217**
(0.00)(0.00)(0.01)(0.00)(0.00)(0.00)
Steller- 0.0516- 0.2460**- 0.0469**0.0039- 0.0471**- 0.0113
(0.05)(0.05)(0.03)(0.02)(0.02)(0.02)
Miss Dum- 1.4092**- 0.6380**- 0.8994**- 0.5114**- 0.6374**- 0.4905**
(0.07)(0.07)(0.12)(0.07)(0.07)(0.06)
ρ0.5119**0.3238**
(0.02)(0.02)
Embedded Image1.0810**0.8685**
(0.13)(0.09)
κ3,31.2636** (0.16)1.1534** (0.15)
κ4,41.9398** (0.22)1.5840** (0.18)
κ5,51.1902** (0.15)1.1097** (0.14)
κ6,60.9177** (0.12)0.9040** (0.11)
κ7,71.0654** (0.13)1.0272** (0.12)
κ8,80.9009** (0.11)0.8678** (0.10)
κ9,90.5888** (0.08)0.6277** (0.08)
κ10,100.6266** (0.08)0.6536** (0.08)
κ11,111.2411** (0.15)1.0766** (0.12)
κ12,120.6616** (0.08)0.6319** (0.08)
κ13,130.6719** (0.08)0.6245** (0.08)
κ14,140.5383** (0.07)0.5541** (0.07)
κ15,150.4663** (0.06)0.4832** (0.06)
κ16,160.4951** (0.07)0.4810** (0.07)
κ17,170.5515** (0.07)0.5559** (0.07)
κ18,180.6921** (0.09)0.6541** (0.08)
κ19,191.0243** (0.13)0.9196** (0.11)
κ20,200.5541** (0.08)0.5484** (0.07)
κ21,210.5741** (0.08)0.5544** (0.07)
κ22,221.0154** (0.12)0.9797** (0.12)
κ23,230.6801** (0.09)0.6652** (0.08)
κ24,240.6545** (0.09)0.6240** (0.08)
LL value- 4,003.64- 3,529.37- 5,073.54- 4,493.59- 4,811.05- 4,433.20
  • Note: The log-likelihoods for the MNL and MNP models cannot be directly compared because they are based on a different likelihood function. However, the log-likelihoods for all the MNP and SMNP models can be compared to one another. LL, log-likelihood. Model names are defined in Table 2.

  • * Statistically significant at the 90% level;

  • ** statistically significant at the 95% level.