USSeatBelts {AER} | R Documentation |
Effects of Mandatory Seat Belt Laws in the US
Description
Balanced panel data for the years 1983–1997 from 50 US States, plus the District of Columbia, for assessing traffic fatalities and seat belt usage.
Usage
data("USSeatBelts")
Format
A data frame containing 765 observations on 12 variables.
- state
factor indicating US state (abbreviation).
- year
factor indicating year.
- miles
millions of traffic miles per year.
- fatalities
number of fatalities per million of traffic miles (absolute frequencies of fatalities =
fatalities
timesmiles
).- seatbelt
seat belt usage rate, as self-reported by state population surveyed.
- speed65
factor. Is there a 65 mile per hour speed limit?
- speed70
factor. Is there a 70 (or higher) mile per hour speed limit?
- drinkage
factor. Is there a minimum drinking age of 21 years?
- alcohol
factor. Is there a maximum of 0.08 blood alcohol content?
- income
median per capita income (in current US dollar).
- age
mean age.
- enforce
factor indicating seat belt law enforcement (
"no"
,"primary"
,"secondary"
).
Details
Some data series from Cohen and Einav (2003) have not been included in the data frame.
Source
Online complements to Stock and Watson (2007).
References
Cohen, A., and Einav, L. (2003). The Effects of Mandatory Seat Belt Laws on Driving Behavior and Traffic Fatalities. The Review of Economics and Statistics, 85, 828–843
Stock, J.H. and Watson, M.W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.
See Also
Examples
data("USSeatBelts")
summary(USSeatBelts)
library("lattice")
xyplot(fatalities ~ as.numeric(as.character(year)) | state, data = USSeatBelts, type = "l")