cement | R Documentation |
Wooldridge Source: J. Shea (1993), “The Input-Output Approach to Instrument Selection,” Journal of Business and Economic Statistics 11, 145-156. Professor Shea kindly provided these data. Data loads lazily.
data('cement')
A data.frame with 312 observations on 30 variables:
year: 1964-1989
month: 1-12
prccem: BLS ppi for cement
ipcem: industrial prod. index, cement
prcpet: ppi for crude petroleum
rresc: real residential construction
rnonc: real nonres. construction
ip: aggregate index of indus. prod.
rdefs: real defense spending
milemp: military employment
gprc: log(prccem) - log(prccem[_n-1])
gcem: log(ipcem) - log(ipcem[_n-1])
gprcpet: log(prcpet) - log(prcpet[_n-1])
gres: log(rresc) - log(rresc[_n-1])
gnon: log(rnonc) - log(rnonc[_n-1])
gip: log(ip) - log(ip[_n-1])
gdefs: log(rdefs) - log(rdefs[_n-1])
gmilemp: log(milemp) - log(milemp[_n-1])
jan: =1 if month == 1
feb: =1 if month == 2
mar: =1 if month == 3
apr: =1 if month == 4
may: =1 if month == 5
jun: =1 if month == 6
jul: =1 if month == 7
aug: =1 if month == 8
sep: =1 if month == 9
oct: =1 if month == 10
nov: =1 if month == 11
dec: =1 if month == 12
Compared with Shea’s analysis, the producer price index (PPI) for fuels and power has been replaced with the PPI for petroleum. The data are monthly and have not been seasonally adjusted.
Used in Text: pages 579
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
str(cement)
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