Households’ financial and non-financial assets and liabilities - 7HA_A_Q

Data - OECD

Author

TRANSACT

Code

`7HA_A_Q` %>%
  group_by(TRANSACT) %>%
  summarise(Nobs = n()) %>%
  left_join(`7HA_A_Q_var`$TRANSACT, by = "TRANSACT") %>%
  arrange(-Nobs) %>%
  print_table_conditional

MEASURE

Code

`7HA_A_Q` %>%
  left_join(`7HA_A_Q_var`$MEASURE, by = "MEASURE") %>%
  group_by(MEASURE, Measure) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

MEASURE	Measure	Nobs
C	National currency, current prices	39082
CXCE	US $, current prices, current exchange rates, end of period	38215

LOCATION

Pension plans managed by autonomous pension funds (Germany)

Code

`7HA_A_Q` %>%
  # AF6121: Pension plans managed by autonomous pension funds
  # AF6122: Pension plans managed by non-autonomous pension funds
  # AF6123: Insured pension plans
  # AF6124: Other pension plans and unfunded pension plans
  filter(TRANSACT %in% c("AF6121", "AF6122", "AF6123", "AF6124", "AF612"), 
         LOCATION == "DEU", 
         MEASURE == "C") %>%
  year_to_enddate() %>%
  left_join(`7HA_A_Q_var`$TRANSACT %>% 
              setNames(c("TRANSACT", "Transact")), by = "TRANSACT") %>%
  ggplot() + xlab("") + ylab("Euros Managed") + theme_minimal() +
  geom_line(aes(x = date, y = obsValue/1000, color = Transact, linetype = Transact)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 1), "-01-01")),
               labels = date_format("%y")) +
  theme(legend.position = c(0.45, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(0, 4000, 50),
                     labels = dollar_format(suffix = " Bn€", prefix = "", accuracy = 1))

Net equity of households in pension funds

Code

`7HA_A_Q` %>%
  filter(TRANSACT %in% c("AF612"), 
         LOCATION %in% c("DEU", "FRA"),
         MEASURE == "C") %>%
  year_to_date() %>%
  left_join(`7HA_A_Q_var`$LOCATION, by = "LOCATION") %>%
  mutate(obsValue = obsValue / 1000) %>%
  left_join(colors, by = c("Location" = "country")) %>%
  ggplot() + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) +
  scale_color_identity() + add_2flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 1), "-01-01")),
               labels = date_format("%y")) +
  theme(legend.position = c(0.45, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(0, 20000, 100),
                     labels = dollar_format(suffix = " Bn€", prefix = "", accuracy = 1))