Wooldridge Source: J. Mullahy (1997), “Instrumental-Variable Estimation of Count Data Models: Applications to Models of Cigarette Smoking Behavior,” Review of Economics and Statistics 79, 596-593. Professor Mullahy kindly provided the data. He obtained them from the 1988 National Health Interview Survey. Data loads lazily.

data('bwght')

Format

A data.frame with 1388 observations on 14 variables:

  • faminc: 1988 family income, $1000s

  • cigtax: cig. tax in home state, 1988

  • cigprice: cig. price in home state, 1988

  • bwght: birth weight, ounces

  • fatheduc: father's yrs of educ

  • motheduc: mother's yrs of educ

  • parity: birth order of child

  • male: =1 if male child

  • white: =1 if white

  • cigs: cigs smked per day while preg

  • lbwght: log of bwght

  • bwghtlbs: birth weight, pounds

  • packs: packs smked per day while preg

  • lfaminc: log(faminc)

Source

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

Used in Text

pages 18, 61, 110, 151, 165, 178, 184, 187-188, 258-259, 522-523

Examples

str(bwght)
#> 'data.frame': 1388 obs. of 14 variables: #> $ faminc : num 13.5 7.5 0.5 15.5 27.5 7.5 65 27.5 27.5 37.5 ... #> $ cigtax : num 16.5 16.5 16.5 16.5 16.5 16.5 16.5 16.5 16.5 16.5 ... #> $ cigprice: num 122 122 122 122 122 ... #> $ bwght : int 109 133 129 126 134 118 140 86 121 129 ... #> $ fatheduc: int 12 6 NA 12 14 12 16 12 12 16 ... #> $ motheduc: int 12 12 12 12 12 14 14 14 17 18 ... #> $ parity : int 1 2 2 2 2 6 2 2 2 2 ... #> $ male : int 1 1 0 1 1 1 0 0 0 0 ... #> $ white : int 1 0 0 0 1 0 1 0 1 1 ... #> $ cigs : int 0 0 0 0 0 0 0 0 0 0 ... #> $ lbwght : num 4.69 4.89 4.86 4.84 4.9 ... #> $ bwghtlbs: num 6.81 8.31 8.06 7.88 8.38 ... #> $ packs : num 0 0 0 0 0 0 0 0 0 0 ... #> $ lfaminc : num 2.603 2.015 -0.693 2.741 3.314 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"