quantreg: barro – R documentation

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barro

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 https://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:

[,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.

quantreg

Quantile Regression

v5.85

GPL (>= 2)

Authors

Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Blaise Melly [ctb] (Contributions to preprocessing code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Cleve Moler [ctb] (author of several linpack routines), Yousef Saad [ctb] (author of sparskit2), Victor Chernozhukov [ctb] (contributions to extreme value inference code), Ivan Fernandez-Val [ctb] (contributions to extreme value inference code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)

Initial release