toy.FullIOTable: An example data set to illustrate as.inputoutput

In jjpwade/ioanalysis: Input-Output Analysis

Description

This data is designed to be a small dimension worst case scenario. The numbers are saved as a string and there are many NAs floating around. The data itself was randomly generated.

Usage

data("toy.FullIOTable")

Format

An input output matrix with two regions, five sectors, four national accounts categories (including exports), four values added (including imports), and total production.

Details

toy,FullIOTable was created using the following code where toy.FullIOTable was created using the seed of 117 and toy.FullIOTable2 was created using the seed 112358

See Also

See also toy.IO, as.inputoutput

Examples

set.seed(117)
# Creating the T (transaction) matrix

T11 <- matrix(sample(1:100, 25), ncol = 5, nrow = 5)
T12 <- matrix(sample(1:100, 25), ncol = 5, nrow = 5)
T21 <- matrix(sample(1:100, 25), ncol = 5, nrow = 5)
T22 <- matrix(sample(1:100, 25), ncol = 5, nrow = 5)
Trd <- rbind(cbind(T11,T12),cbind(T21,T22))
# Creating Labels
region <- c(rep("Hogwarts",5),rep("Narnia",5))
sector <- c("Pizza","Wii","Spaceships","Lightsabers","Minions")
sector <- c(sector,sector)
id <- rbind(region,sector)
blank <- matrix(NA, ncol = 2, nrow = 2)
Trd <- rbind( cbind(blank, id), cbind(t(id), Trd))
# Creating value added matrix
V <- matrix(sample(100:300, 30), ncol = 10, nrow = 3)
label <- matrix(c("Employee Compensation", "Proprietor Income", "Indirect Business Tax"),
                ncol = 1)
blank <- matrix(NA, ncol = 1, nrow = 3)
V <- cbind(blank, label, V)
# Creating final demand matrix
f <- matrix(sample(1:300, 80), ncol = 8, nrow = 10)
label <- c("Household", "Government", "Investment", " Exports")
label <- matrix(c(label, label), nrow = 1)
id <- rbind(region[c(1:4,6:9)], label)
f <- rbind(id, f)
# Creating total production
one.10 <- matrix(rep(1, 10), ncol = 1)
one.8 <- matrix(rep(1, 8), ncol = 1)
X <- matrix(as.numeric(Trd[3:12, 3:12]), nrow = 10)%*%one.10 + 
     matrix(as.numeric(f[3:12,]), nrow = 10)%*%one.8
label <- matrix(c(NA,"Total"))
X <- rbind(label, X)
# Creating imports (in this case it is a residual)
M <- matrix(NA, nrow = 1, ncol = 12)
one.3 <- matrix(rep(1, 3), ncol = 1)
M[1, 3:12] <- t(one.10)%*%matrix(as.numeric(Trd[3:12, 3:12]), nrow = 10) + 
              t(one.3)%*%matrix(as.numeric(V[,3:12]), nrow = 3)
M[1, 2] <- "Imports"
# Putting this beast together
blank <- matrix(NA, nrow=5, ncol = 9)
holder <- cbind(f, X)
holder <- rbind(holder, blank)
hold <- rbind(Trd, V, M, t(X))
toy.FullIOTable <- cbind(hold, holder)
# Creating an FV matrix
a <- matrix(round(80*runif(12)), nrow = 2, ncol = 6)
toy.FullIOTable[15:16, c(13:15, 17:19)] <- a

jjpwade/ioanalysis documentation built on May 6, 2019, 6:57 p.m.