Description Usage Format Details Examples
Annual model-level sales of cars in European countries between 1970 and 1999.
1 | data('eurocars')
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A data.frame with 11,549 observations on 39 variables:
year: Year of the observation
market_id: Numeric identifier for geographical market
model_id: Numeric identifier for the car
model_id2: Numeric identifier for the car with unified products when model number changes
type: Car Type
brand: Brand of Manufacturer
model: Car Model
origin_id: Numeric identifier for country of origin
location_id: Numeric identifier for location
class_id: Numeric vehicle class identifier
domestic: == 1 if produced domestically
firm_id: Numeric identifier for firm that produced vehicle
qty_sold: Quantity of cars sold
displacement: Engine capacity in cc
kilowatts: Engine Power in kilowatts
weight: Vehicle weight in kilograms
n_seats: Number of seats
n_doors: Number of doors
length: Vehicle length in cm
height: Vehicle height in cm
fueleff_90: Fuel Efficiency at 90 km/hr
fueleff_90: Fuel Efficiency at 120 km/hr
fueleff_city: Fuel Efficiency when driving in city
fueleff_avg: Average Fuel Efficiency
max_speed: Maximum speed in km/hr
accel: Time taken in seconds from 0 to 100 km/hr
price: Price in local currency
price_euro: Price in Euros
exchrate_exp: Exchange rate in exporting country
exchrate_imp: Exchange rate in importing country
cpi_exp: Consumer Price Index in exporting country
ppi_exp: Producer Price Index in exporting country
cpi_imp: Consumer Price Index in importing country
ppi_imp: Producer Price Index in importing country
tax: Tax rate on purchase
population: Country of sale's population
ngdp: Nominal GDP in country of sale
rgdp: Real GDP in country of sale
Data Source: Brenkers and Verboven, 2006, "Liberalizing a Distribution System: The European Car Market", Journal of the European Economic Association
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