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#

Name:

Description:

a cross-section

number of observations : 4654

observation : individuals

country : United States

Variables:

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

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

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/.

See Also

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

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Stated_Preferences_for_Car_Choice_515_96.csv")

R Coding Interface:


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