PErisk

Political Economic Risk Data from 62 Countries in 1987.

datasets

Contains functions to perform Bayesian
inference using posterior simulation for a number of
statistical models. Most simulation is done in compiled C++
written in the Scythe Statistical Library Version 1.0.3. All
models return 'coda' mcmc objects that can then be summarized
using the 'coda' package. Some useful
utility functions such as density functions,
pseudo-random number generators for statistical
distributions, a general purpose Metropolis sampling algorithm,
and tools for visualization are provided.

Jong Hee Park

MCMCpack

Markov Chain Monte Carlo (MCMC) Package

Ghislain Vieilledent

Michael Malecki

Matthew Blackwell

Keith Poole

Craig Reed

Ben Goodrich

Qiushi Yu

Ross Ihaka

Pierre L'Ecuyer

Makoto Matsumoto

Takuji Nishimura

PErisk function

A data frame with 62 observations on the following 9 variables. All
data points are from 1987. See Quinn (2004) for more details.<dl>
 <dt>country</dt>
<dd>a factor with levels <code>Argentina</code> through
 <code>Zimbabwe</code></dd>
 <dt>courts</dt>
<dd>an ordered factor with levels <code>0</code> &lt;
 <code>1</code>.<code>courts</code> is an indicator of whether the country in question is
 judged to have an independent judiciary. From Henisz (2002).</dd> <dt>barb2</dt>
<dd>a numeric vector giving the natural log of the black market
 premium in each country. The black market premium is coded as the black market
 exchange rate (local currency per dollar) divided by the official exchange rate
 minus 1. From Marshall, Gurr, and Harff (2002).</dd> <dt>prsexp2</dt>
<dd>an ordered factor
 with levels <code>0</code> &lt; <code>1</code> &lt; <code>2</code> &lt; <code>3</code> &lt; <code>4</code> &lt; <code>5</code>,
 giving the lack of expropriation risk. From Marshall, Gurr, and Harff
 (2002).</dd> <dt>prscorr2</dt>
<dd>an ordered factor with levels <code>0</code> &lt; <code>1</code> &lt;
 <code>2</code> &lt; <code>3</code> &lt; <code>4</code> &lt; <code>5</code>, measuring the lack of corruption.
 From Marshall, Gurr, and Harff (2002).</dd> <dt>gdpw2</dt>
<dd>a numeric vector giving the natural log of real GDP per worker in
 1985 international prices. From Alvarez et al. (1999).</dd>
</dl>

Format

Political Economic Risk Data from 62 Countries in 1987 — PErisk

A data frame with 62 observations on the following 9 variables. All
data points are from 1987. See Quinn (2004) for more details.<dl>
 <dt>country</dt>
<dd>a factor with levels <code>Argentina</code> through
 <code>Zimbabwe</code></dd>
 <dt>courts</dt>
<dd>an ordered factor with levels <code>0</code> &lt;
 <code>1</code>.<code>courts</code> is an indicator of whether the country in question is
 judged to have an independent judiciary. From Henisz (2002).</dd>

 <dt>barb2</dt>
<dd>a numeric vector giving the natural log of the black market
 premium in each country. The black market premium is coded as the black market
 exchange rate (local currency per dollar) divided by the official exchange rate
 minus 1. From Marshall, Gurr, and Harff (2002).</dd>

 <dt>prsexp2</dt>
<dd>an ordered factor
 with levels <code>0</code> &lt; <code>1</code> &lt; <code>2</code> &lt; <code>3</code> &lt; <code>4</code> &lt; <code>5</code>,
 giving the lack of expropriation risk. From Marshall, Gurr, and Harff
 (2002).</dd>

 <dt>prscorr2</dt>
<dd>an ordered factor with levels <code>0</code> &lt; <code>1</code> &lt;
 <code>2</code> &lt; <code>3</code> &lt; <code>4</code> &lt; <code>5</code>, measuring the lack of corruption.
 From Marshall, Gurr, and Harff (2002).</dd>

 <dt>gdpw2</dt>
<dd>a numeric vector giving the natural log of real GDP per worker in
 1985 international prices. From Alvarez et al. (1999).</dd>


</dl>

Political Economic Risk Data from 62 Countries in 1987

PErisk: Political Economic Risk Data from 62 Countries in 1987

Description

Arguments

Format

References