Wooldridge Source: Economic Report of the President, various years. Data loads lazily.

data('wageprc')

Format

A data.frame with 286 observations on 20 variables:

  • price: consumer price index

  • wage: nominal hourly wage

  • t: time trend = 1, 2 , 3, ...

  • lprice: log(price)

  • lwage: log(wage)

  • gprice: lprice - lprice[_n-1]

  • gwage: lwage - lwage[_n-1]

  • gwage_1: gwage[_n-1]

  • gwage_2: gwage[_n-2]

  • gwage_3:

  • gwage_4:

  • gwage_5:

  • gwage_6:

  • gwage_7:

  • gwage_8:

  • gwage_9:

  • gwage_10:

  • gwage_11:

  • gwage_12:

  • gprice_1: gprice[_n-1]

Source

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

Notes

These monthly data run from January 1964 through October 1987. The consumer price index averages to 100 in 1967.

Used in Text: pages 405, 444-445, 671.

Examples

str(wageprc)
#> 'data.frame': 286 obs. of 20 variables: #> $ price : num 92.6 92.5 92.6 92.7 92.7 ... #> $ wage : num 2.32 2.32 2.32 2.34 2.35 ... #> $ t : int 1 2 3 4 5 6 7 8 9 10 ... #> $ lprice : num 4.53 4.53 4.53 4.53 4.53 ... #> $ lwage : num 0.842 0.842 0.842 0.85 0.854 ... #> $ gprice : num NA -0.00108 0.00108 0.00108 0 ... #> $ gwage : num NA 0 0 0.00858 0.00426 ... #> $ gwage_1 : num NA NA 0 0 0.00858 ... #> $ gwage_2 : num NA NA NA 0 0 ... #> $ gwage_3 : num NA NA NA NA 0 ... #> $ gwage_4 : num NA NA NA NA NA ... #> $ gwage_5 : num NA NA NA NA NA ... #> $ gwage_6 : num NA NA NA NA NA ... #> $ gwage_7 : num NA NA NA NA NA NA NA NA 0 0 ... #> $ gwage_8 : num NA NA NA NA NA NA NA NA NA 0 ... #> $ gwage_9 : num NA NA NA NA NA NA NA NA NA NA ... #> $ gwage_10: num NA NA NA NA NA NA NA NA NA NA ... #> $ gwage_11: num NA NA NA NA NA NA NA NA NA NA ... #> $ gwage_12: num NA NA NA NA NA NA NA NA NA NA ... #> $ gprice_1: num NA NA -0.00108 0.00108 0.00108 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"