Function to generate foreign variables
Function to generate foreign variables
GVAR_Ft(data, weight.matrix=NULL)
data |
Dataframe is a strictly balanced panel data format,the first column is cross-section ID,and the second column is Time. For the sake of identification, both columns must be named by, respectively, id and Time. |
weight.matrix |
Bilateral trade weight matrix for computing foreign variables. If the computation of foreign variables are weighted by one weighting matrix, weight.matrix must be a "data.frame". If the computation of foreign variables are weighted on a year-to-year basis, then weight.matrix must be a "list", with the same length as the weighting frequency. If NULL, then it computes the foreign vriables by average. |
Ft |
Weighted foerign variables as described in GVAR |
Ho Tsung-wu <tsungwu@ntnu.edu.tw>, College of Management, National Taiwan Normal University.
Mauro Filippo di and Pesaran H. M. (2013) The GVAR Handbook– Structure and Applications of a Macro Model of the Global Economy for Policy. Oxford University Press.
#=== Loading Data ===#
data("PriceVol")
data("tradeweight1")
data("tradeweightx")
#Generate country-specific foreign variables
Ft=GVAR_Ft(data=PriceVol,weight.matrix=tradeweight1)
k=17
head(Ft[[k]])
tail(Ft[[k]])Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.