tradeweight1: A single year cross-section bilateral trade weight matrix,...

In GVARX: Perform Global Vector Autoregression Estimation and Inference

A single year cross-section bilateral trade weight matrix, 2014.

Description

A single year cross-section bilateral trade weight matrix, 2014

Usage

data("tradeweight1")

Format

A matrix of 17 by 17 bilateral trade weight matrix,2014

Australia

Bilateral trade weight matrix of Australia, 2014

Austria

Bilateral trade weight matrix of Austria, 2014

Belgium

Bilateral trade weight matrix of Belgium, 2014

Brazil

Bilateral trade weight matrix of Brazil, 2014

France

Bilateral trade weight matrix of France, 2014

UK

Bilateral trade weight matrix of UK, 2014

US

Bilateral trade weight matrix of US, 2014

Canada

Bilateral trade weight matrix of Canada, 2014

HongKong

Bilateral trade weight matrix of Hong Kong, 2014

Indonesia

Bilateral trade weight matrix of Indonesia, 2014

Malaysia

Bilateral trade weight matrix of Malaysia, 2014

Korea

Bilateral trade weight matrix of Korea, 2014

Mexico

Bilateral trade weight matrix of Mexico, 2014

Japan

Bilateral trade weight matrix of Japan, 2014

Swiss

Bilateral trade weight matrix of Swiss, 2014

China

Bilateral trade weight matrix of China, 2014

Taiwan

Bilateral trade weight matrix of Taiwan, 2014

Details

This matrix is a 17 by 17 trade weight matrix, the column names are 17 countries. Given column j, the row-wise elements are bilateral trade weights of country j. Please make sure that the order of countries exactly matches the dataset's ID column.

Examples

data(tradeweight1)
is.data.frame(tradeweight1)

GVARX documentation built on Feb. 16, 2023, 10:56 p.m.