| airfare | R Documentation |
Wooldridge Source: Jiyoung Kwon, a former doctoral student in economics at MSU, kindly provided these data, which she obtained from the Domestic Airline Fares Consumer Report by the U.S. Department of Transportation. Data loads lazily.
data('airfare')
A data.frame with 4596 observations on 14 variables:
year: 1997, 1998, 1999, 2000
id: route identifier
dist: distance, in miles
passen: avg. passengers per day
fare: avg. one-way fare, $
bmktshr: fraction market, biggest carrier
ldist: log(distance)
y98: =1 if year == 1998
y99: =1 if year == 1999
y00: =1 if year == 2000
lfare: log(fare)
ldistsq: ldist^2
concen: = bmktshr
lpassen: log(passen)
This data set nicely illustrates the different estimates obtained when applying pooled OLS, random effects, and fixed effects.
Used in Text: pages 506-507, 581
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
str(airfare)