worldprod: Data on world production
In sfaR: Stochastic Frontier Analysis Routines
worldprod R Documentation
Data on world production
Description
This dataset provides information on production related variables for
eighty-two countries over the period 1960–1987.
Format
A data frame with 2,296 observations on the following 12 variables.
- country
Country name.
- code
Country
identification.
- yr
Year identification.
- y
GDP in 1987 U.S.
dollars.
- k
Physical capital stock in 1987 U.S. dollars.
- l
Labor (number of individuals in the workforce between the age of
15 and 64).
- h
Human capital-adjusted labor.
- ly
Log of
y.
- lk
Log of k.
- ll
Log of l.
- lh
Log of h.
- initStat
Log of the initial capital to
labor ratio of each country, lk - ll, measured at the
beginning of the sample period.
Details
The dataset is from the World Bank STARS database and has been used in
Kumbhakar et al. (2014).
Source
https://sites.google.com/site/sfbook2014/home/for-stata-v12-v13-v14
References
Kumbhakar, S.C., H.J. Wang, and A. Horncastle. 2014. A
Practitioner's Guide to Stochastic Frontier Analysis Using Stata. Cambridge
University Press.
Examples
str(worldprod)
summary(worldprod)
sfaR documentation built on July 9, 2023, 6:58 p.m.
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| worldprod | R Documentation |
Data on world production
Description
This dataset provides information on production related variables for eighty-two countries over the period 1960–1987.
Format
A data frame with 2,296 observations on the following 12 variables.
- country
Country name.
- code
Country identification.
- yr
Year identification.
- y
GDP in 1987 U.S. dollars.
- k
Physical capital stock in 1987 U.S. dollars.
- l
Labor (number of individuals in the workforce between the age of 15 and 64).
- h
Human capital-adjusted labor.
- ly
Log of
y.- lk
Log of
k.- ll
Log of
l.- lh
Log of
h.- initStat
Log of the initial capital to labor ratio of each country,
lk-ll, measured at the beginning of the sample period.
Details
The dataset is from the World Bank STARS database and has been used in Kumbhakar et al. (2014).
Source
https://sites.google.com/site/sfbook2014/home/for-stata-v12-v13-v14
References
Kumbhakar, S.C., H.J. Wang, and A. Horncastle. 2014. A Practitioner's Guide to Stochastic Frontier Analysis Using Stata. Cambridge University Press.
Examples
str(worldprod)
summary(worldprod)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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