R Dataset / Package Ecdat / PatentsRD

On this R-data statistics page, you will find information about the PatentsRD data set which pertains to Patents, R\&D and Technological Spillovers for a Panel of Firms . The PatentsRD data set is found in the Ecdat R package. You can load the PatentsRD data set in R by issuing the following command at the console data("PatentsRD"). This will load the data into a variable called PatentsRD. If R says the PatentsRD data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") 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 PatentsRD R data set. The size of this file is about 59,467 bytes.

Patents, R\&D and Technological Spillovers for a Panel of Firms

Description

a panel of 181 observations from 1983 to 1991

number of observations : 1629

observation : production units

country : world

Usage

data(PatentsRD)

Format

A dataframe containing :

year

year

fi

firm's id

sector

firm's main industry sector, one of aero (aerospace), chem (chemistry), comput (computer), drugs, elec (electricity), food, fuel (fuel and mining), glass, instr (instruments), machin (machinery), metals, other, paper, soft (software), motor (motor vehicles)

geo

geographic area, one of eu (European Union), japan, usa, rotw (rest of the world)

patent

numbers of European patent applications

rdexp

log of R\&D expenditures

spil

log of spillovers

Source

Cincer, Michele (1997) “Patents, R \& D and technological spillovers at the firm level : some evidence from econometric count models for panel data”, Journal of Applied Econometrics, 12(3), may–june, 265–280.

References

Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/. Verbeek, Marno (2004) A Guide to Modern Econometrics, John Wiley and Sons, chapter 7.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations,

Index.Time.Series

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

Attachments: csv, json

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