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')

Format

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

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Notes

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

Examples

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"