Policy Rates, Monthly
Data - BIS
Info
Data on interest rates
source | dataset | .html | .RData |
---|---|---|---|
2024-07-26 | 2024-06-18 | ||
2024-07-26 | 2024-07-01 | ||
2024-07-26 | 2024-07-01 | ||
2024-08-09 | 2024-05-10 | ||
2024-07-01 | 2024-04-19 | ||
2024-07-01 | 2024-07-26 | ||
2024-06-19 | 2024-07-26 | ||
2024-08-09 | 2024-07-24 | ||
2024-08-09 | 2024-06-08 | ||
2024-08-09 | 2024-07-03 | ||
2024-08-09 | 2024-08-09 | ||
2024-04-16 | 2024-06-30 | ||
2024-07-01 | 2024-05-21 | ||
2024-01-06 | 2024-08-09 |
Data on monetary policy
source | dataset | .html | .RData |
---|---|---|---|
2024-07-26 | 2024-06-18 | ||
2024-07-26 | 2024-07-01 | ||
2024-07-26 | 2024-07-01 | ||
2024-07-01 | 2024-08-09 | ||
2024-07-01 | 2024-05-21 | ||
2024-07-01 | 2024-07-26 | ||
2024-07-01 | 2024-07-26 | ||
2024-07-01 | 2024-07-03 | ||
2024-07-01 | 2024-01-25 | ||
2024-07-01 | 2024-05-21 | ||
2024-06-19 | 2024-07-26 | ||
2024-06-07 | 2024-07-26 | ||
2024-07-01 | 2024-07-01 | ||
2024-07-01 | 2024-05-21 | ||
2024-07-01 | 2024-07-01 | ||
2024-08-09 | 2024-07-24 | ||
2024-08-09 | 2024-07-03 | ||
2024-08-09 | 2024-08-09 | ||
2024-04-16 | 2024-06-30 | ||
2024-07-01 | 2024-05-21 |
LAST_COMPILE
LAST_COMPILE |
---|
2024-08-09 |
Last
date | Nobs |
---|---|
2024-03-01 | 34 |
REF_AREA
Code
%>%
CBPOL_M left_join(REF_AREA, by = "REF_AREA") %>%
group_by(REF_AREA, Ref_area) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Ref_area)),
Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .} {
FREQ
Code
%>%
CBPOL_M left_join(FREQ, by = "FREQ") %>%
group_by(FREQ, Freq) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
FREQ | Freq | Nobs |
---|---|---|
M | Monthly | 22535 |
Individual Countries
Hungary
1990-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("HU"),
>= as.Date("2000-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
2010-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("HU"),
>= as.Date("2010-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Poland
1990-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("PL"),
>= as.Date("2000-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
2010-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("PL"),
>= as.Date("2010-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Brazil
1990-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("BR"),
>= as.Date("2000-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
2010-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("BR"),
>= as.Date("2010-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Iceland
All
Code
%>%
CBPOL_M filter(REF_AREA %in% c("IS")) %>%
ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
2014-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("IS"),
>= as.Date("2014-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
New Zealand
All
Code
%>%
CBPOL_M filter(REF_AREA %in% c("NZ")) %>%
ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
1980-2000
Code
%>%
CBPOL_M filter(REF_AREA %in% c("NZ"),
>= as.Date("1980-01-01"),
date <= as.Date("2000-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
2014-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("NZ"),
>= as.Date("2014-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Israel
All
Code
%>%
CBPOL_M filter(REF_AREA %in% c("IL")) %>%
ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
All - Stanley Fischer
Code
%>%
CBPOL_M filter(REF_AREA %in% c("IL")) %>%
ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank()) +
geom_rect(data = data_frame(start = as.Date("2005-05-01"),
end = as.Date("2013-06-30")),
aes(xmin = start, xmax = end, ymin = -Inf, ymax = +Inf),
fill = viridis(4)[4], alpha = 0.2)
2004-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("IL"),
>= as.Date("2004-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
2004- Stanley Fischer
Code
%>%
CBPOL_M filter(REF_AREA %in% c("IL"),
>= as.Date("2004-01-01")) %>%
date ggplot(.) + geom_line(aes(x = date, y = OBS_VALUE/100)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1940, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank()) +
geom_rect(data = data_frame(start = as.Date("2005-05-01"),
end = as.Date("2013-06-30")),
aes(xmin = start, xmax = end, ymin = -Inf, ymax = +Inf),
fill = viridis(4)[4], alpha = 0.2)
3 Countries
United States, Japan, Euro Area (1980-)
1980-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("US", "JP", "XM"),
>= as.Date("1980-01-01")) %>%
date left_join(REF_AREA, by = "REF_AREA") %>%
mutate(Ref_area = ifelse(REF_AREA == "XM", "Europe", Ref_area)) %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 30, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
1985-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("US", "JP", "XM"),
>= as.Date("1985-01-01")) %>%
date left_join(REF_AREA, by = "REF_AREA") %>%
mutate(Ref_area = ifelse(REF_AREA == "XM", "Europe", Ref_area)) %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 30, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Switzerland, Denmark, United Kingdom
Code
%>%
CBPOL_M filter(REF_AREA %in% c("CH", "DK", "GB")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 30, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
India
All
Code
%>%
CBPOL_M filter(REF_AREA %in% c("IN")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 30, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Sweden, India, United States
All
Code
%>%
CBPOL_M filter(REF_AREA %in% c("SE", "IN", "US")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 30, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
1993-
Code
%>%
CBPOL_M filter(REF_AREA %in% c("SE", "IN", "US"),
>= as.Date("1993-01-01")) %>%
date left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 30, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Japan, Canada, Australia
Code
%>%
CBPOL_M filter(REF_AREA %in% c("JP", "CA", "AU")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 100, 5),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
South Africa, New Zealand, Norway
Code
%>%
CBPOL_M filter(REF_AREA %in% c("ZA", "NZ", "NO")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 100, 5),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Brazil, Philippines, Hungary
All
Code
%>%
CBPOL_M filter(REF_AREA %in% c("BR", "PH", "HU")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 100, 5),
labels = percent_format(accuracy = 1),
limits = c(-0.05, 0.40)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
2000
Code
%>%
CBPOL_M filter(REF_AREA %in% c("BR", "PH", "HU"),
>= as.Date("1998-01-01")) %>%
date left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-5, 100, 5),
labels = percent_format(accuracy = 1),
limits = c(-0.05, 0.40)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Russia, Poland, Argentina
Code
%>%
CBPOL_M filter(REF_AREA %in% c("RU", "PL", "AR")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 50),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Israel, Colombia, Croatia
Code
%>%
CBPOL_M filter(REF_AREA %in% c("IL", "CO", "HR")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 50),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Malaysia, Czech Republic, China
Code
%>%
CBPOL_M filter(REF_AREA %in% c("MY", "CZ", "CN")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Serbia, Chile, Iceland
Code
%>%
CBPOL_M filter(REF_AREA %in% c("RS", "CL", "IS")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 5),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
Hong Kong, Mexico, Euro Area
Code
%>%
CBPOL_M filter(REF_AREA %in% c("HK", "MX", "XM")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
mutate(Ref_area = ifelse(REF_AREA == "XM", "Europe", Ref_area)) %>%
mutate(Ref_area = ifelse(REF_AREA == "HK", "Hong Kong", Ref_area)) %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 5),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())
South Korea, North Macedonia, Saudi Arabia
Code
%>%
CBPOL_M filter(REF_AREA %in% c("KR", "MK", "SA")) %>%
left_join(REF_AREA, by = "REF_AREA") %>%
left_join(colors, by = c("Ref_area" = "country")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Policy Rates (%)") +
geom_line(aes(x = date, y = OBS_VALUE/100, color = color)) +
scale_color_identity() + add_flags +
scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 10000, 5),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.8, 0.80),
legend.title = element_blank())