Quinn (2004) used 5 mixed variables, namely the continuous variable black-market premium in each country (used as a proxy for illegal economic activity), the continuous variable productivity as measured by real gross domestic product per worker in 1985 international prices, the binary variable independence of the national judiciary (1 if the judiciary is judged to be independent and 0 otherwise), and the ordinal variables measuring the lack of expropriation risk and lack of corruption.

datasets

Estimation, model selection and goodness-of-fit of (1) factor copula models for mixed continuous and discrete data in Kadhem and Nikoloulopoulos (2021) <doi:10.1111/bmsp.12231>; (2) bi-factor and second-order copula models for item response data in Kadhem and Nikoloulopoulos (2023) <doi:10.1007/s11336-022-09894-2>; (3) factor tree copula models for item response data in Kadhem and Nikoloulopoulos (2022) <arXiv:2201.00339>.

Aristidis Nikoloulopoulos

FactorCopula

Factor, Bi-Factor, Second-Order and Factor Tree Copula Models

Sayed H. Kadhem

Aristidis K. Nikoloulopoulos

PE function

A data frame with 62 observations (countries) on the following 5 variables:<dl>
 <dt><code>BM</code></dt>
<dd>Black-market premium.</dd> <dt><code>GDP</code></dt>
<dd>Gross domestic product.</dd> <dt><code>IJ</code></dt>
<dd>Independent judiciary.</dd> <dt><code>XPR</code></dt>
<dd>Lack of expropriation risk.</dd> <dt><code>CPR</code></dt>
<dd>Lack of corruption.</dd> 
</dl>

Format

Political-economic risk of 62 countries for the year 1987 — PE

A data frame with 62 observations (countries) on the following 5 variables:<dl>
 <dt><code>BM</code></dt>
<dd>Black-market premium.</dd>

 <dt><code>GDP</code></dt>
<dd>Gross domestic product.</dd>

 <dt><code>IJ</code></dt>
<dd>Independent judiciary.</dd>

 <dt><code>XPR</code></dt>
<dd>Lack of expropriation risk.</dd>

 <dt><code>CPR</code></dt>
<dd>Lack of corruption.</dd>

 
</dl>

PE: Political-economic risk of 62 countries for the year 1987

Description

Usage

Arguments

Format