Using the Contingent Grouping Method to Value Forest Attributes
Table 3
Model estimations.
Nonrandom parameters
Coefficient
-statistic
Picnic
0.238
1.924
Drive
−0.626
−4.965
Mushrooms
−0.190
−1.325
Erosion
−0.075
−2.633
SQ
−1.972
−5.812
SQ*Age1
3.416
9.764
SQ*Age2
3.637
11.129
SQ*Age3
4.112
10.322
Random parameters: mean
CO2
0.263
2.929
Payment
−0.117
−5.663
Random parameters: spread
CO2
3.436 × 10−4
3.380
Payment
1.016 × 10−4
3.602
Observations
732
log-likelihood
−628.105
log-likelihood at 0
−821.4110
The model was estimated using the Halton sequences with 500 replications. In the results reported in this paper, the variables CO2 and Erosion were divided by 105 and 102, respectively, to facilitate estimation.