On this R-data statistics page, you will find information about the barro data set which pertains to Barro Data. The barro data set is found in the quantreg R package. You can load the barro data set in R by issuing the following command at the console data("barro"). This will load the data into a variable called barro. If R says the barro data set is not found, you can try installing the package by issuing this command install.packages("quantreg") and then attempt to reload the data. 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 barro R data set. The size of this file is about 24,083 bytes.

Barro Data

Description

Version of the Barro Growth Data used in Koenker and Machado(1999). This is a regression data set consisting of 161 observations on determinants of cross country GDP growth rates. There are 13 covariates with dimnames corresponding to the original Barro and Lee source. See http://www.nber.org/pub/barro.lee/. The first 71 observations are on the period 1965-75, remainder on 1987-85.

Usage

data(barro)

Format

A data frame containing 161 observations on 14 variables:

R project statistics dataset table

[,1]	"Annual Change Per Capita GDP"
[,2]	"Initial Per Capita GDP"
[,3]	"Male Secondary Education"
[,4]	"Female Secondary Education"
[,5]	"Female Higher Education"
[,6]	"Male Higher Education"
[,7]	"Life Expectancy"
[,8]	"Human Capital"
[,9]	"Education/GDP"
[,10]	"Investment/GDP"
[,11]	"Public Consumption/GDP"
[,12]	"Black Market Premium"
[,13]	"Political Instability"
[,14]	"Growth Rate Terms Trade"

References

Koenker, R. and J.A.F. Machado (1999) Goodness of Fit and Related Inference Processes for Quantile Regression, JASA, 1296-1310.

--

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