Info

source	dataset	Title	.html	.rData
ecb	ILM_PUB	Internal Liquidity Management - Published series	2026-01-15	2026-01-15

Data on monetary policy

source	dataset	Title	.html	.rData
ecb	ILM_PUB	Internal Liquidity Management - Published series	2026-01-15	2026-01-15
bdf	FM	Marché financier, taux	2026-01-15	2026-01-10
bdf	MIR	Taux d'intérêt - Zone euro	2026-01-15	2025-08-04
bdf	MIR1	Taux d'intérêt - France	2026-01-15	2025-08-04
bis	CBPOL	Policy Rates, Daily	2026-01-11	2026-01-15
ecb	BSI	Balance Sheet Items	2026-01-15	2026-01-11
ecb	BSI_PUB	Balance Sheet Items - Published series	2026-01-15	2026-01-15
ecb	FM	Financial market data	2026-01-15	2026-01-15
ecb	ILM	Internal Liquidity Management	2026-01-15	2026-01-15
ecb	MIR	MFI Interest Rate Statistics	2026-01-15	2026-01-15
ecb	RAI	Risk Assessment Indicators	2026-01-15	2026-01-15
ecb	SUP	Supervisory Banking Statistics	2025-12-19	2026-01-15
ecb	YC	Financial market data - yield curve	2026-01-15	2026-01-11
ecb	YC_PUB	Financial market data - yield curve - Published series	2026-01-15	2026-01-15
ecb	liq_daily	Daily Liquidity	2026-01-15	2025-06-06
eurostat	ei_mfir_m	Interest rates - monthly data	2026-01-16	2026-01-16
eurostat	irt_st_m	Money market interest rates - monthly data	2026-01-16	2026-01-15
fred	r	Interest Rates	2026-01-16	2026-01-16
oecd	MEI	Main Economic Indicators	2024-04-16	2025-07-24
oecd	MEI_FIN	Monthly Monetary and Financial Statistics (MEI)	2024-09-15	2025-07-24

LAST_COMPILE

LAST_COMPILE
2026-01-16

Last

Code

ILM_PUB %>%
  group_by(TIME_PERIOD, FREQ) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  head(5) %>%
  print_table_conditional()

TIME_PERIOD	FREQ	Nobs
2026-W02	W	35
2026-W01	W	35
2025-W52	W	35
2025-W51	W	35
2025-W50	W	35

FREQ

Code

ILM_PUB %>%
  left_join(FREQ,  by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

FREQ	Freq	Nobs
W	Weekly	48186
M	Monthly	3342

BS_ITEM

Code

ILM_PUB %>%
  left_join(BS_ITEM,  by = "BS_ITEM") %>%
  group_by(BS_ITEM, Bs_item) %>%
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}