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midasr (version 0.9)

plot_midas_coef: Plot MIDAS coefficients

Description

Plots MIDAS coefficients of a MIDAS regression for a selected term.

Usage

plot_midas_coef(x, term_name, title, ...)

# S3 method for midas_r plot_midas_coef( x, term_name = NULL, title = NULL, vcov. = sandwich, unrestricted = x$unrestricted, ... )

Value

a data frame with restricted MIDAS coefficients, unrestricted MIDAS coefficients and lower and upper confidence interval limits. The data frame is returned invisibly.

Arguments

x

midas_r object

term_name

the term name for which the coefficients are plotted. Default is NULL, which selects the first MIDAS term

title

the title string of the graph. The default is NULL for the default title.

...

additional arguments passed to vcov.

vcov.

the covariance matrix to calculate the standard deviation of the cofficients

unrestricted

the unrestricted model, the default is unrestricted model from the x object. Set NULL to plot only the weights.

Author

Virmantas Kvedaras, Vaidotas Zemlys

Details

Plots MIDAS coefficients of a selected MIDAS regression term together with corresponding MIDAS coefficients and their confidence intervals of unrestricted MIDAS regression

Examples

Run this code
data("USrealgdp")
data("USunempr")

y <- diff(log(USrealgdp))
x <- window(diff(USunempr), start = 1949)
trend <- 1:length(y)

##24 high frequency lags of x included
mr <- midas_r(y ~ trend + fmls(x, 23, 12, nealmon), start = list(x = rep(0, 3)))

plot_midas_coef(mr)

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