Description Usage Format Source References Examples
US GDP (Gross Domestic Product) and IP (Industrial Production) ranging from from 1947 (Q1) to 2013 (Q4); the data correspond to a real-time vintage.
1 |
A bivariate time series with 268 observations on two
variables. The object is of class mts
.
Federal Reserve Bank of Philadelphia.
de Carvalho, M. and Rua, A. (2017). Real-time nowcasting the US output gap: Singular spectrum analysis at work. International Journal of Forecasting, 33, 185–198.
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Plotting GDP and IP (de Carvalho and Rua, 2017; Fig. 4)
data(GDPIP)
par(mar = c(5, 4, 4, 5) + .1)
plot(GDPIP[, 1], type = "l",
xlab = "Time", ylab = "Gross Domestic Product (GDP)",
lwd = 3, col = "red", cex.lab = 1.4, cex.axis = 1.4)
par(new = TRUE)
plot(GDPIP[, 2], type = "l", xaxt = "n", yaxt = "n",
xlab = "", ylab = "", lwd = 3, col = "blue", cex.axis = 1.4)
axis(4)
mtext("Industrial Production (IP)", side = 4, line = 3, cex = 1.4)
legend("topleft", col = c("red", "blue"),
lty = 1, lwd = 3, legend = c("GDP", "IP"))
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## ============================================== ##
## ASSA 1.0 ##
## ---------------------------------------------- ##
## Copyright (C) 2018 ##
## M. de Carvalho and G. Martos ##
## ============================================== ##
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