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).
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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