Bank Lending Survey Statistics - BLS
Data - ECB
Info
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 | ||
2024-08-09 | 2024-09-15 | ||
2024-09-18 | 2024-09-16 | ||
2024-09-18 | 2024-10-08 | ||
2024-09-18 | 2024-10-08 | ||
2024-09-18 | 2024-10-08 | ||
2024-09-18 | 2024-09-10 | ||
2024-09-18 | 2024-09-11 | ||
2024-06-19 | 2024-10-08 | ||
2024-09-19 | 2024-10-08 | ||
2024-09-19 | 2024-10-08 | ||
2024-09-19 | 2024-09-16 | ||
2024-09-19 | 2024-10-08 | ||
2024-09-30 | 2024-09-15 | ||
2024-09-30 | 2024-10-08 | ||
2024-09-18 | 2024-09-18 | ||
2024-04-16 | 2024-06-30 | ||
2024-09-15 | 2024-05-21 |
LAST_COMPILE
LAST_COMPILE |
---|
2024-10-09 |
Last
Code
%>%
BLS group_by(TIME_PERIOD, FREQ) %>%
summarise(Nobs = n()) %>%
%>%
ungroup select(FREQ, TIME_PERIOD, Nobs) %>%
group_by(FREQ) %>%
arrange(desc(TIME_PERIOD)) %>%
filter(row_number() < 5) %>%
arrange(FREQ) %>%
print_table_conditional()
FREQ | TIME_PERIOD | Nobs |
---|---|---|
Q | 2024-Q3 | 15254 |
Q | 2024-Q2 | 14798 |
Q | 2024-Q1 | 14394 |
Q | 2023-Q4 | 13958 |
BLS_ITEM
Code
%>%
BLS left_join(BLS_ITEM, by = "BLS_ITEM") %>%
group_by(BLS_ITEM, Bls_item) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
Données
Données PCE
Code
%>%
BLS filter(KEY %in% c("BLS.Q.U2.ALL.Z.H.H.B3.ZZ.D.WFNET",
"BLS.Q.U2.ALL.Z.H.C.B3.ZZ.D.WFNET")) %>%
left_join(BLS_COUNT_DETAIL , by = "BLS_COUNT_DETAIL") %>%
quarter_to_date() %>%
select_if(~ n_distinct(.) > 1) %>%
+ geom_line(aes(x = date, y = OBS_VALUE/100, color = Bls_count_detail)) +
ggplot xlab("") + ylab("") + theme_minimal() +
scale_x_date(breaks = as.Date(paste0(seq(1940, 2024, 2), "-01-01")),
labels = date_format("%Y")) +
scale_color_manual(values = c("blue", "red")) +
theme(legend.position = c(0.65, 0.25),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-100, 90, 10),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed")
Consumer credit, Loans for house purchase
Code
%>%
BLS filter(KEY %in% c("BLS.Q.U2.ALL.Z.H.H.B3.ZZ.D.WFNET",
"BLS.Q.U2.ALL.Z.H.C.B3.ZZ.D.WFNET")) %>%
left_join(BLS_COUNT_DETAIL , by = "BLS_COUNT_DETAIL") %>%
quarter_to_date() %>%
select_if(~ n_distinct(.) > 1) %>%
+ geom_line(aes(x = date, y = OBS_VALUE/100, color = Bls_count_detail)) +
ggplot xlab("") + ylab("") + theme_minimal() +
scale_x_date(breaks = as.Date(paste0(seq(1940, 2024, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.65, 0.25),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-100, 90, 10),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed")