daIns: Liability Insurance Coverage for Hunters and Anglers in...

In erer: Empirical Research in Economics with R

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.

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.

Details

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

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.

See Also

daInsNam

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)

erer documentation built on Sept. 26, 2024, 5:06 p.m.