barro

<p>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.</p>

datasets

Estimation and inference methods for models for conditional quantile functions:
Linear and nonlinear parametric and non-parametric (total variation penalized) models
for conditional quantiles of a univariate response and several methods for handling
censored survival data.  Portfolio selection methods based on expected shortfall
risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press,
<doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression,
CRC Press, <doi:10.1201/9781315120256>.

Roger Koenker

quantreg

Quantile Regression

Stephen Portnoy

Blaise Melly

Achim Zeileis

Philip Grosjean

Cleve Moler

Yousef Saad

Victor Chernozhukov

Ivan Fernandez-Val

Martin Maechler

barro function

<p>A data frame containing 161 observations on 14 variables:</p><table class="table">
<tr><td>[,1]</td><td>"Annual Change Per Capita GDP"</td></tr>
<tr><td>[,2]</td><td>"Initial Per Capita GDP"</td></tr>
<tr><td>[,3]</td><td>"Male Secondary Education"</td></tr>
<tr><td>[,4]</td><td>"Female Secondary Education"</td></tr>
<tr><td>[,5]</td><td>"Female Higher Education"</td></tr>
<tr><td>[,6]</td><td>"Male Higher Education"</td></tr>
<tr><td>[,7]</td><td>"Life Expectancy"</td></tr>
<tr><td>[,8]</td><td>"Human Capital"</td></tr>
<tr><td>[,9]</td><td>"Education/GDP"</td></tr>
<tr><td>[,10]</td><td>"Investment/GDP"</td></tr>
<tr><td>[,11]</td><td>"Public Consumption/GDP"</td></tr>
<tr><td>[,12]</td><td>"Black Market Premium"</td></tr>
<tr><td>[,13]</td><td>"Political Instability"</td></tr>
<tr><td>[,14]</td><td>"Growth Rate Terms Trade"</td></tr>
</table><p></p><p>
</p>

Format

Barro Data — barro

<p>A data frame containing 161 observations on 14 variables:</p><table class='table'>
<tr><td>[,1]</td><td>"Annual Change Per Capita GDP"</td></tr>
<tr><td>[,2]</td><td>"Initial Per Capita GDP"</td></tr>
<tr><td>[,3]</td><td>"Male Secondary Education"</td></tr>
<tr><td>[,4]</td><td>"Female Secondary Education"</td></tr>
<tr><td>[,5]</td><td>"Female Higher Education"</td></tr>
<tr><td>[,6]</td><td>"Male Higher Education"</td></tr>
<tr><td>[,7]</td><td>"Life Expectancy"</td></tr>
<tr><td>[,8]</td><td>"Human Capital"</td></tr>
<tr><td>[,9]</td><td>"Education/GDP"</td></tr>
<tr><td>[,10]</td><td>"Investment/GDP"</td></tr>
<tr><td>[,11]</td><td>"Public Consumption/GDP"</td></tr>
<tr><td>[,12]</td><td>"Black Market Premium"</td></tr>
<tr><td>[,13]</td><td>"Political Instability"</td></tr>
<tr><td>[,14]</td><td>"Growth Rate Terms Trade"</td></tr>
</table>




Barro Data

barro: Barro Data

Description

Usage

Arguments

Format

References

[,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"