participants that claimed to have a graduate or other advanced degree. All of the participants

were homeowners, which is due to fact that the addresses for the sample population were

obtained from the Columbia County Property Appraisers office and therefore only included

property owners (while Columbia County's home ownership rate is 77%). This might explain the

higher level of income in the sample, since property owners are likely to have high income

versus renters.

Logit Analysis

 The final statistical model was:

 A u = Bo -B(Bid) +B2(Income) +B(Education) +B(Politic) B(Importance) +B(Visitation)

+ error

 Where 'yes' is the dependent variable and records if a person was or wasn't willing to pay

the amount asked in the survey. (1 = Yes, 0 = No),

 Bid: The Bid variable refers to the dollar amount that the participant was asked to pay.

This variable is always included in a logit model and sign on the coefficient is expected to be

negative. This indicates that as the dollar amount participants were asked to pay increases, the

less likely they would be to vote for the program. The amounts varied from $5, $10, $15, $20,

and $25.

 Income: Income level was included because it usually has a positive relation to

willingness to pay. The higher a persons income, the larger the amount they are usually willing

to pay for environmental services, therefore we would expect a positive sign on the coefficient.

(0 = less than $45,000 household annual income, 1 = greater than $45,000 household annual

income)

 Education: A person's level of education is another socio-economic variable that can have

an affect on one's values for environmental goods and services. A positive sign would be