%0 Journal Article
%A Jess Fleming, J.
%A Straka, Thomas J.
%A Miller, Stephen E.
%T An Econometric Model to Predict Participation in Urban and Community Forestry Programs in South Carolina, U.S.
%D 2006
%R 10.48044/jauf.2006.029
%J Arboriculture & Urban Forestry (AUF)
%P 229-235
%V 32
%N 5
%X A regression-based econometric model was generated from a statewide survey of South Carolina, U.S., residents concerning participation in urban and community forestry programs. The econometric model attempts to estimate the probability of an individualâ€™s participation. Results are intended to increase effectiveness of program planning and organization within state forestry commissions. Model 1 was created as follows: participation = F (gender, age, education, marital status, region, area raised, area reside, household, duties, and income). Because these responses represented qualitative values, a number of dummy variables (0 or 1, for example, for yes or no) were generated to more accurately reflect the values for participation and a logit model was used. Logit regression analysis produces a value between 0 and 1 that can be interpreted as a probability. Model 2, with fewer variables, was later created to reduce possible multicollinearity problems. Model 1 had a pseudo-R2 value of 0.2955 or a 29.55% probability of having a correct prediction for participation. Model 2 had a pseudo-R2 value of 0.2407. The models produced reasonable predictions of participation.
%U https://auf.isa-arbor.com/content/isa/32/5/229.full.pdf