Liability Insurance Coverage for Hunters and Anglers in Mississippi
This data set contains a survey result about liability insurance purchase decision by hunters and anglers in Mississippi. There are 1653 observations for 14 variables.
Y |
Binary dependent variable = 1 if had liability insurance; 0 otherwise |
Injury |
Times of bodily injuries or property damages in the past three years |
HuntYrs |
Years of hunting |
Nonres |
Dummy = 1 if nonresidents; 0 if Mississippi residents |
Lspman |
Dummy = 1 if purchased the license of resident sportsman; 0 otherwise |
Lnong |
Dummy = 1 if purchased the license of nonresident all game; 0 otherwise |
Gender |
Dummy = 1 if male; 0 otherwise |
Age |
Age of the hunter or angler |
Race |
Dummy = 1 if Caucasian; 0 otherwise |
Marital |
Dummy = 1 if married; 0 otherwise |
Edu |
Years of education |
Inc |
Household income in 2004 (1,000 dollars) |
TownPop |
Population size of the residence town (1,000) |
FishYrs |
Years of fishing |
data(daIns)
A cross sectional data with 1653 observations and 14 variables.
The data set is from a telephone survey conducted in 2005 in Mississippi.
Sun, C., S. Pokharel, W.D. Jones, S.C. Grado, and D.L. Grebner. 2007. Extent of recreational incidents and determinants of liability insurance coverage for hunters and anglers in Mississippi. Southern Journal of Applied Forestry 31(3):151-158.
data(daIns)
class(daIns); dim(daIns)
head(daIns); tail(daIns)
ra <- glm(formula = Y ~ Injury + HuntYrs + Nonres +
Lspman + Lnong + Gender + Age +
Race + Marital + Edu + Inc + TownPop,
family = binomial(link="logit"),
data = daIns, x = TRUE, y= TRUE)
names(ra); summary(ra)
(ins.me <- maBina(w = ra))
(ins.mt <- maTrend(q=ins.me, nam.c="Age", nam.d="Nonres"))
plot(ins.mt)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.