| Car | R Documentation |
a cross-section
number of observations : 4654
observation : individuals
country : United States
data(Car)
A dataframe containing :
choice of a vehicule amoung 6 propositions
college education ?
size of household greater than 2 ?
commulte lower than 5 miles a day ?
body type, one of regcar (regular car), sportuv (sport utility vehicule), 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 vehicule divided by the logarithme of income
hundreds of miles vehicule 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 vehicule
0 for a mini, 1 for a subcompact, 2 for a compact and 3 for a mid–size or large vehicule
fraction of luggage space in comparable new gas vehicule
cost per mile of travel (tens of cents) : home recharging for electric vehicule, station refueling otherwise
fraction of stations that can refuel/recharge vehicule
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://jae.wiley.com/jae/.
Index.Source, Index.Economics, Index.Econometrics, Index.Observations