On this Picostat.com 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. Try to load the Car data set in R by issuing the following command at the console data("Car"). This may 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 library("Ecdat") followed by data("Car"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing Car at the command-line which should display the entire dataset.
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
number of observations : 4654
observation : individuals
country : United States
A dataframe containing :
choice of a vehicle among 6 propositions
college education ?
size of household greater than 2 ?
commute lower than 5 miles a day ?
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
fuel for proposition z, one of gasoline, methanol, cng (compressed natural gas), electric.
price of vehicle divided by the logarithm of income
hundreds of miles vehicle can travel between refuelings/rechargings
acceleration, tens of seconds required to reach 30 mph from stop
highest attainable speed in hundreds of mph
tailpipe emissions as fraction of those for new gas vehicle
0 for a mini, 1 for a subcompact, 2 for a compact and 3 for a mid–size or large vehicle
fraction of luggage space in comparable new gas vehicle
cost per mile of travel (tens of cents) : home recharging for electric vehicle, station refueling otherwise
fraction of stations that can refuel/recharge vehicle
McFadden, Daniel and Kenneth Train (2000) “Mixed MNL models for discrete response”, Journal of Applied Econometrics, 15(5), 447–470.
Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/.
Dataset imported from https://www.r-project.org.