R Dataset / Package Ecdat / Car

On this R-data statistics page, you will find information about the Car data set which pertains to Stated Preferences for Car Choice . The Car data set is found in the Ecdat R package. You can load the Car data set in R by issuing the following command at the console data("Car"). This will load the data into a variable called Car. If R says the Car data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Car R data set. The size of this file is about 1,508,744 bytes.

Stated Preferences for Car Choice

Description

a cross-section

number of observations : 4654

observation : individuals

country : United States

Usage

data(Car)

Format

A dataframe containing :

choice: choice of a vehicle among 6 propositions
college: college education ?
hsg2: size of household greater than 2 ?
coml5: commute lower than 5 miles a day ?
typez: body type, one of regcar (regular car), sportuv (sport utility vehicle), sportcar, stwagon (station wagon), truck, van, for each proposition z from 1 to 6
fuelz: fuel for proposition z, one of gasoline, methanol, cng (compressed natural gas), electric.
pricez: price of vehicle divided by the logarithm of income
rangez: hundreds of miles vehicle can travel between refuelings/rechargings
accz: acceleration, tens of seconds required to reach 30 mph from stop
speedz: highest attainable speed in hundreds of mph
pollutionz: tailpipe emissions as fraction of those for new gas vehicle
sizez: 0 for a mini, 1 for a subcompact, 2 for a compact and 3 for a mid–size or large vehicle
spacez: fraction of luggage space in comparable new gas vehicle
costz: cost per mile of travel (tens of cents) : home recharging for electric vehicle, station refueling otherwise
stationz: fraction of stations that can refuel/recharge vehicle

Source

McFadden, Daniel and Kenneth Train (2000) “Mixed MNL models for discrete response”, Journal of Applied Econometrics, 15(5), 447–470.

References

Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/.

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