Quarterly National Accounts,

Data - OECD

Author

Info

source	dataset	.html	.RData
oecd	QNA_EXPENDITURE_CAPITA	2024-09-15	2024-09-15
oecd	QNA_INCOME	2024-09-11	2024-09-15

Last

obsTime	Nobs
2024-Q2	375

REF_AREA

Code

QNA_INCOME %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

TRANSACTION

Code

QNA_INCOME %>%
  left_join(TRANSACTION, by = "TRANSACTION") %>%
  group_by(TRANSACTION, Transaction) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

TRANSACTION	Transaction	Nobs
B1GQ	Gross domestic product	12386
D1	Compensation of employees	11271
D2X3	Taxes on production and imports less subsidies	11190
B2A3G	Operating surplus and mixed income, gross	11040
D2	Taxes on production and imports	10151
D3	Subsidies on production and imports	10151

U.S., Europe, France, Germany

D1 - Compensation of employees

1995-

Code

QNA_INCOME %>%
  filter(REF_AREA %in% c("USA", "EA20", "FRA", "DEU"),
         FREQ == "Q",
         TRANSACTION == "D1",
         ADJUSTMENT == "Y") %>%
  quarter_to_date %>%
  arrange(desc(date)) %>%
  rename(LOCATION = REF_AREA) %>%
  left_join(QNA_var$LOCATION, by = "LOCATION") %>%
  filter(date >= as.Date("1995-01-01")) %>%
  mutate(Location = ifelse(LOCATION == "EA20", "Europe", Location)) %>%
  group_by(Location) %>%
  arrange(date) %>%
  mutate(obsValue = 100 * obsValue / obsValue[1]) %>%
  left_join(colors, by = c("Location" = "country")) %>%
  mutate(color = ifelse(LOCATION != "DEU", color2, color)) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
  scale_color_identity() +
  scale_x_date(breaks = c(seq(1995, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(100, 500, 20))

1999-

Code

QNA_INCOME %>%
  filter(REF_AREA %in% c("USA", "EA20", "FRA", "DEU"),
         FREQ == "Q",
         TRANSACTION == "D1",
         ADJUSTMENT == "Y") %>%
  quarter_to_date %>%
  rename(LOCATION = REF_AREA) %>%
  left_join(QNA_var$LOCATION, by = "LOCATION") %>%
  filter(date >= as.Date("1999-01-01")) %>%
  mutate(Location = ifelse(LOCATION == "EA20", "Europe", Location)) %>%
  group_by(Location) %>%
  mutate(obsValue = 100 * obsValue / obsValue[date == as.Date("1999-01-01")]) %>%
  left_join(colors, by = c("Location" = "country")) %>%
  mutate(color = ifelse(LOCATION != "DEU", color2, color)) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
  scale_color_identity() +
  scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(50, 400, 10))

B1GQ - Gross domestic product

1995-

Code

QNA_INCOME %>%
  filter(REF_AREA %in% c("USA", "EA20", "FRA", "DEU"),
         FREQ == "Q",
         TRANSACTION == "B1GQ",
         ADJUSTMENT == "Y") %>%
  quarter_to_date %>%
  arrange(desc(date)) %>%
  rename(LOCATION = REF_AREA) %>%
  left_join(QNA_var$LOCATION, by = "LOCATION") %>%
  filter(date >= as.Date("1995-01-01")) %>%
  mutate(Location = ifelse(LOCATION == "EA20", "Europe", Location)) %>%
  group_by(Location) %>%
  arrange(date) %>%
  mutate(obsValue = 100 * obsValue / obsValue[1]) %>%
  left_join(colors, by = c("Location" = "country")) %>%
  mutate(color = ifelse(LOCATION != "DEU", color2, color)) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
  scale_color_identity() +
  scale_x_date(breaks = c(seq(1995, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(100, 500, 20))

1999-

Code

QNA_INCOME %>%
  filter(REF_AREA %in% c("USA", "EA20", "FRA", "DEU"),
         FREQ == "Q",
         TRANSACTION == "B1GQ",
         ADJUSTMENT == "Y") %>%
  quarter_to_date %>%
  rename(LOCATION = REF_AREA) %>%
  left_join(QNA_var$LOCATION, by = "LOCATION") %>%
  filter(date >= as.Date("1999-01-01")) %>%
  mutate(Location = ifelse(LOCATION == "EA20", "Europe", Location)) %>%
  group_by(Location) %>%
  mutate(obsValue = 100 * obsValue / obsValue[date == as.Date("1999-01-01")]) %>%
  left_join(colors, by = c("Location" = "country")) %>%
  mutate(color = ifelse(LOCATION != "DEU", color2, color)) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
  scale_color_identity() +
  scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(50, 400, 10))