erer (version 1.3)

daIns: Liability Insurance Coverage for Hunters and Anglers in Mississippi

Description

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. ll{ 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 }

Usage

data(daIns)

format

A cross sectional data with 1653 observations and 14 variables.

source

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.

Details

The data set is from a telephone survey conducted in 2005 in Mississippi.

Examples

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)