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library(tidyverse)
library(readrba)
library(readabs)
library(patchwork)
theme_set(theme_minimal(base_size = 14) +
theme(
axis.title = element_blank(),
axis.line.x = element_line(linewidth = 0.25),
axis.ticks.x = element_line(linewidth = 0.25),
panel.grid.minor = element_blank(),
panel.grid.major.x = element_blank()
))
inf_exp_raw <- read_rba_seriesid(c(
"GUNIEXPY",
"GUNIEXPYY",
"GMAREXPY",
"GMAREXPYY"
))
inf_exp <- inf_exp_raw |>
separate(series,
c("source", "horizon"),
sep = " – "
) |>
mutate(
source = str_remove_all(source, "' inflation expectations"),
series = "Expected inflation"
) |>
select(date, source, horizon, value)
x_scale <- scale_x_date(
limits = range(inf_exp$date),
date_labels = "%Y",
breaks = seq(
max(inf_exp$date),
min(inf_exp$date),
"-10 years"
)
)
plot_inf_exp <- inf_exp |>
ggplot(aes(x = date, y = value, col = source)) +
geom_line() +
ggtext::geom_richtext(
data = tibble(
label = "<span style='color:#F8766D'>Market economists</span><br><span style='color:#00BFC4'>Union officials</span>",
x = max(inf_exp$date),
y = 6,
horizon = "2-year ahead"
),
aes_all(c("x", "y", "label")),
inherit.aes = FALSE,
hjust = 1,
label.size = 0,
size = 12 / .pt,
vjust = 1
) +
facet_wrap(~horizon) +
x_scale +
labs(subtitle = "Expected inflation") +
theme(legend.position = "none")
plot_gap <- inf_exp |>
pivot_wider(
names_from = source,
values_from = value
) |>
mutate(
value = `Union officials` - `Market economists`,
series = "Difference in expected inflation"
) |>
select(date, horizon, value, series) |>
filter(!is.na(value)) |>
ggplot(aes(x = date, y = value)) +
geom_line() +
facet_wrap(~horizon) +
x_scale +
labs(subtitle = "Difference in expected inflation")
plot_inf_exp /
plot_gap +
plot_annotation(caption = "Source: RBA table G03.")
@MattCowgill
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@qwertytam I’ll leave that as an exercise for the reader!

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