Wooldridge Data loads lazily.

data('hprice3')

Format

A data.frame with 321 observations on 19 variables:

  • year: 1978, 1981

  • age: age of house

  • agesq: age^2

  • nbh: neighborhood, 1-6

  • cbd: dist. to cent. bus. dstrct, ft.

  • inst: dist. to interstate, ft.

  • linst: log(inst)

  • price: selling price

  • rooms: # rooms in house

  • area: square footage of house

  • land: square footage lot

  • baths: # bathrooms

  • dist: dist. from house to incin., ft.

  • ldist: log(dist)

  • lprice: log(price)

  • y81: =1 if year = 1981

  • larea: log(area)

  • lland: log(land)

  • linstsq: linst^2

Source

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

NA

Examples

str(hprice3)
#> 'data.frame': 321 obs. of 19 variables: #> $ year : int 1978 1978 1978 1978 1978 1978 1978 1978 1978 1978 ... #> $ age : int 48 83 58 11 48 78 22 78 42 41 ... #> $ agesq : num 2304 6889 3364 121 2304 ... #> $ nbh : int 4 4 4 4 4 4 4 4 4 4 ... #> $ cbd : num 3000 4000 4000 4000 4000 3000 4000 3000 3000 3000 ... #> $ inst : num 1000 1000 1000 1000 2000 2000 2000 2000 2000 2000 ... #> $ linst : num 6.91 6.91 6.91 6.91 7.6 ... #> $ price : num 60000 40000 34000 63900 44000 46000 56000 38500 60500 55000 ... #> $ rooms : int 7 6 6 5 5 6 6 6 8 5 ... #> $ area : int 1660 2612 1144 1136 1868 1780 1700 1556 1642 1443 ... #> $ land : num 4578 8370 5000 10000 10000 ... #> $ baths : int 1 2 1 1 1 3 2 2 2 2 ... #> $ dist : num 10700 11000 11500 11900 12100 10000 11700 10200 10500 11000 ... #> $ ldist : num 9.28 9.31 9.35 9.38 9.4 ... #> $ lprice : num 11 10.6 10.4 11.1 10.7 ... #> $ y81 : int 0 0 0 0 0 0 0 0 0 0 ... #> $ larea : num 7.41 7.87 7.04 7.04 7.53 ... #> $ lland : num 8.43 9.03 8.52 9.21 9.21 ... #> $ linstsq: num 47.7 47.7 47.7 47.7 57.8 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"