Wooldridge Source: P.H. Franses and R. Paap (2001), Quantitative Models in Marketing Research. Cambridge: Cambridge University Press. Professor Franses kindly provided the data. Data loads lazily.
data('charity')A data.frame with 4268 observations on 8 variables:
respond: =1 if responded with gift
gift: amount of gift, Dutch guilders
resplast: =1 if responded to most recent mailing
weekslast: number of weeks since last response
propresp: response rate to mailings
mailsyear: number of mailings per year
giftlast: amount of most recent gift
avggift: average of past gifts
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
This data set can be used to illustrate probit and Tobit models, and to study the linear approximations to them.
Used in Text: pages 65, 112-113, 266-267, 628
str(charity)
#> 'data.frame': 4268 obs. of 8 variables:
#> $ respond : int 0 0 0 0 1 0 0 0 0 1 ...
#> $ gift : int 0 0 0 0 10 0 0 0 0 5 ...
#> $ resplast : int 0 0 1 0 0 0 0 0 1 0 ...
#> $ weekslast: num 143 65.4 13.1 120.1 103.9 ...
#> $ propresp : num 0.3 0.3 0.3 0.3 0.2 ...
#> $ mailsyear: num 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 ...
#> $ giftlast : int 10 10 10 10 10 10 10 5 10 5 ...
#> $ avggift : num 10 10 10 10 10 10 10 6 10 5 ...
#> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"