PT - JOURNAL ARTICLE
AU - Jess Fleming, J.
AU - Straka, Thomas J.
AU - Miller, Stephen E.
TI - An Econometric Model to Predict Participation in Urban and Community Forestry Programs in South Carolina, U.S.
AID - 10.48044/jauf.2006.029
DP - 2006 Sep 01
TA - Arboriculture & Urban Forestry (AUF)
PG - 229--235
VI - 32
IP - 5
4099 - http://auf.isa-arbor.com/content/32/5/229.short
4100 - http://auf.isa-arbor.com/content/32/5/229.full
AB - 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.