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

In erer: Empirical Research in Economics with R

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 Sept. 26, 2024, 5:06 p.m.