Data for statutory reforms and retention of prescribed fire liability laws on forest land by state
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 |
data(daLaw)
A data frame object with 50 rows and 16 variables.
This is the final data set used in the study of Sun (2006).
See Table 2 in Sun (2006) for detail of data sources.
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.
data(daLaw) str(daLaw); head(daLaw); names(daLaw)
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