Description

a sample of 4654 individuals

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

Journal of Applied Econometrics data archive.

References

McFadden D, Train K (2000). “Mixed MNL Models for Discrete Response.” Journal of Applied Econometrics, 15(5), 447–470. ISSN 08837252, 10991255.