Wooldridge Source: Economic Report of the President, 1997, Tables B-4, B-20, B-61, and B-71. Data loads lazily.

data('inven')

Format

A data.frame with 37 observations on 13 variables:

  • year: 1959-1995

  • i3: 3 mo. T-bill rate

  • inf: CPI inflation rate

  • inven: inventories, billions '92 $

  • gdp: GDP, billions '92 $

  • r3: real interest: i3 - inf

  • cinven: inven - inven[_n-1]

  • cgdp: gdp - gdp[_n-1]

  • cr3: r3 - r3[_n-1]

  • ci3: i3 - i3[_n-1]

  • cinf: inf - inf[_n-1]

  • ginven: log(inven) - log(inven[_n-1])

  • ggdp: log(gdp) - log(gdp[_n-1])

Source

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

Used in Text

pages 408, 444, 643, 830

Examples

str(inven)
#> 'data.frame': 37 obs. of 13 variables: #> $ year : int 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 ... #> $ i3 : num 3.41 2.93 2.38 2.78 3.16 ... #> $ inf : num 0.7 1.7 1 1 1.3 ... #> $ inven : num 401 412 421 441 459 ... #> $ gdp : num 2212 2262 2310 2449 2554 ... #> $ r3 : num 2.71 1.23 1.38 1.78 1.86 ... #> $ cinven: num NA 10.6 8.9 20 18.1 ... #> $ cgdp : num NA 49.4 48.1 139.3 104.9 ... #> $ cr3 : num NA -1.48 0.15 0.4 0.08 ... #> $ ci3 : num NA -0.48 -0.55 0.4 0.38 ... #> $ cinf : num NA 1 -0.7 0 0.3 ... #> $ ginven: num NA 0.0261 0.0214 0.0464 0.0402 ... #> $ ggdp : num NA 0.0221 0.021 0.0586 0.0419 ... #> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"