Learn R Programming

Ecdat (version 0.2-9)

Car: Stated Preferences for Car Choice

Description

a cross-section

number of observations : 4654

observation : individuals

country : United States

Usage

data(Car)

Arguments

Format

A dataframe containing :
choice
choice of a vehicule amoung 6 propositions
college
college education ?
hsg2
size of household greater than 2 ?
coml5
commulte lower than 5 miles a day ?
typez
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
fuelz
fuel for proposition z, one of gasoline, methanol, cng (compressed natural gas), electric.
pricez
price of vehicule divided by the logarithme of income
rangez
hundreds of miles vehicule 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 vehicule
sizez
0 for a mini, 1 for a subcompact, 2 for a compact and 3 for a mid--size or large vehicule
spacez
fraction of luggage space in comparable new gas vehicule
costz
cost per mile of travel (tens of cents) : home recharging for electric vehicule, station refueling otherwise
stationz
fraction of stations that can refuel/recharge vehicule

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://jae.wiley.com/jae/.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations