daLaw: Data for statutory reforms and retention of prescribed fire...

daLawR Documentation

Data for statutory reforms and retention of prescribed fire liability laws on forest land by state

Description

This data set contains a cross-sectional data set for current adoption of statutory laws with regard to prescribed fire liability on forest landowners. It has 50 observations and 16 variables.

SHORT Two-letter abbreviations of 50 state names
STATE Full state names
Y Categorical dependent variable (Y = 0, 1, 2, or 3)
FYNFS National Forests area in a state (million acres)
FYIND Industrial forest land area in a state (million acres)
FYNIP Nonindustrial private forest land area in a state (million acres)
AGEN Permanent forestry program personnel in a state
POPRUR Rural population in a state (million)
EDU Population 25 years and older with advanced degrees in a state (million)
INC Per capita income in a state (thousand dollars)
DAY The maximum length of legislative sessions in calendar days in a state
BIANN A dummy variable equal to one for states with annual legislative sessions, zero with biannual (or less)
SEAT Total number of legislative seats (Senate plus House) in the legislative body in a state
BICAM Level of bicameralism in a state, defined as the size of the Senate divided by the size of the House
COMIT Total number of standing committees in a state
RATIO Total number of standing committees in a state divided by the number of legislators

Usage

data(daLaw)

Format

A data frame object with 50 rows and 16 variables.

Details

This is the final data set used in the study of Sun (2006).

Source

See Table 2 in Sun (2006) for detail of data sources.

References

Sun, C. 2006. State statutory reforms and retention of prescribed fire liability laws on US forest land. Forest Policy and Economics 9(4):392-402.

Examples

data(daLaw)
str(daLaw); head(daLaw); names(daLaw) 

erer documentation built on April 18, 2022, 5:06 p.m.