Research Article

Using the Contingent Grouping Method to Value Forest Attributes

Table 3

Model estimations.

Nonrandom parametersCoefficient -statistic

Picnic0.2381.924
Drive −0.626−4.965
Mushrooms−0.190−1.325
Erosion−0.075−2.633
SQ−1.972−5.812
SQ*Age13.4169.764
SQ*Age23.63711.129
SQ*Age34.11210.322
Random parameters: mean
 CO20.2632.929
 Payment−0.117−5.663
Random parameters: spread
 CO23.436 × 10−43.380
 Payment1.016 × 10−43.602
Observations732
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.