Wooldridge Source: C.-F. Chung, P. Schmidt, and A.D. Witte (1991), “Survival Analysis: A Survey,” Journal of Quantitative Criminology 7, 59-98. Professor Chung kindly provided the data. Data loads lazily.

data('recid')

Format

A data.frame with 1445 observations on 18 variables:

  • black: =1 if black

  • alcohol: =1 if alcohol problems

  • drugs: =1 if drug history

  • super: =1 if release supervised

  • married: =1 if married when incarc.

  • felon: =1 if felony sentence

  • workprg: =1 if in N.C. pris. work prg.

  • property: =1 if property crime

  • person: =1 if crime against person

  • priors: # prior convictions

  • educ: years of schooling

  • rules: # rules violations in prison

  • age: in months

  • tserved: time served, rounded to months

  • follow: length follow period, months

  • durat: min(time until return, follow)

  • cens: =1 if duration right censored

  • ldurat: log(durat)

Source

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

Used in Text

pages 611-612, 625

Examples

str(recid)
#> 'data.frame': 1445 obs. of 18 variables: #> $ black : int 0 1 0 0 0 1 1 1 0 1 ... #> $ alcohol : int 1 0 0 0 0 0 1 0 0 0 ... #> $ drugs : int 0 0 0 1 1 0 0 0 0 0 ... #> $ super : int 1 1 0 1 1 1 1 1 1 1 ... #> $ married : int 1 0 0 0 0 0 0 0 1 1 ... #> $ felon : int 0 1 0 1 0 0 0 1 0 1 ... #> $ workprg : int 1 1 1 1 0 1 0 1 0 1 ... #> $ property: int 0 1 1 1 0 0 0 1 0 0 ... #> $ person : int 0 0 0 0 0 0 0 0 0 0 ... #> $ priors : int 0 0 0 2 0 1 0 2 2 0 ... #> $ educ : int 7 12 9 9 9 12 12 10 10 11 ... #> $ rules : int 2 0 5 3 0 0 2 3 0 2 ... #> $ age : int 441 307 262 253 244 277 327 314 388 430 ... #> $ tserved : int 30 19 27 38 4 13 28 34 14 32 ... #> $ follow : int 72 75 81 76 81 79 73 73 73 73 ... #> $ durat : int 72 75 9 25 81 79 73 73 54 60 ... #> $ cens : int 1 1 0 0 1 1 1 1 0 0 ... #> $ ldurat : num 4.28 4.32 2.2 3.22 4.39 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"