R Dataset / Package plm / Produc

On this R-data statistics page, you will find information about the Produc data set which pertains to US States Production. The Produc data set is found in the plm R package. You can load the Produc data set in R by issuing the following command at the console data("Produc"). This will load the data into a variable called Produc. If R says the Produc data set is not found, you can try installing the package by issuing this command install.packages("plm") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Produc R data set. The size of this file is about 63,987 bytes.

US States Production

Description

A panel of 48 observations from 1970 to 1986

total number of observations : 816

observation : regional

country : United States

Usage

data(Produc)

Format

A data frame containing :

state

the state

year

the year

region

the region

pcap

public capital stock

hwy

highway and streets

water

water and sewer facilities

util

other public buildings and structures

pc

private capital stock

gsp

gross state product

emp

labor input measured by the employment in non–agricultural payrolls

unemp

state unemployment rate

Source

Online complements to Baltagi (2001):

http://www.wiley.com/legacy/wileychi/baltagi/

Online complements to Baltagi (2013):

http://bcs.wiley.com/he-bcs/Books?action=resource&bcsId=4338&itemId=1118672321&resourceId=13452

References

Baltagi, Badi H. (2001) Econometric Analysis of Panel Data, 2nd ed., John Wiley and Sons.

Baltagi, Badi H. (2013) Econometric Analysis of Panel Data, 5th ed., John Wiley and Sons.

Baltagi, B. H. and N. Pinnoi (1995) “Public capital stock and state productivity growth: further evidence”, Empirical Economics, 20(2), pp. 351–359.

Munnell, A.H. (1990) “Why has productivity growth declined? Productivity and public investment”, New England Economic Review, pp. 3–22.

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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