tradeweightx: A nine-year bilateral trade weight matrix, 2006-2014

In GVARX: Perform Global Vector Autoregression Estimation and Inference

A nine-year bilateral trade weight matrix, 2006-2014

Description

A nine-year bilateral trade weight matrix, 2006-2014

Usage

data("tradeweightx")

Format

A list with 17 by 17 matrix on the following variable.

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 example data is annual trade weight matrix, it is a list with length 9 (2006-2014).Each list is a year specific 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. Make sure that the length of list must exactly match with the number of years. Because once you use this as tradewieght input matrix, R function will automatically compute foreign variables weighted year-by-year. Please make sure that the order of countries exactly matches the dataset's ID column.

Examples

data(tradeweightx)
is.data.frame(tradeweightx)

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