Net international investment position - quarterly data, % of GDP
Data - Eurostat
Info
Data on europe
Code
load_data("europe.RData")
europe %>%
source_dataset_file_updates()| source | dataset | .html | .RData |
|---|---|---|---|
| eurostat | bop_gdp6_q | 2024-11-21 | 2024-10-09 |
| eurostat | nama_10_a10 | 2024-11-22 | 2024-10-08 |
| eurostat | nama_10_a10_e | 2024-11-22 | 2024-11-21 |
| eurostat | nama_10_gdp | 2024-11-22 | 2024-10-08 |
| eurostat | nama_10_lp_ulc | 2024-11-22 | 2024-10-08 |
| eurostat | namq_10_a10 | 2024-11-22 | 2024-11-21 |
| eurostat | namq_10_a10_e | 2024-11-22 | 2024-11-22 |
| eurostat | namq_10_gdp | 2024-11-22 | 2024-10-08 |
| eurostat | namq_10_lp_ulc | 2024-11-22 | 2024-11-04 |
| eurostat | namq_10_pc | 2024-11-22 | 2024-11-21 |
| eurostat | nasa_10_nf_tr | 2024-11-22 | 2024-10-08 |
| eurostat | nasq_10_nf_tr | 2024-11-22 | 2024-10-09 |
| eurostat | tipsii40 | 2024-11-05 | 2024-11-21 |
LAST_COMPILE
| LAST_COMPILE |
|---|
| 2024-11-22 |
Last
| time | Nobs |
|---|---|
| 2023Q4 | 27 |
geo
Code
tipsii40 %>%
left_join(geo, by = "geo") %>%
group_by(geo, Geo) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}unit
Code
tipsii40 %>%
left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
{if (is_html_output()) print_table(.) else .}| unit | Unit | Nobs |
|---|---|---|
| PC_GDP | Percentage of gross domestic product (GDP) | 2527 |
France, Germany, Italy, Belgium, Netherlands, Spain, Greece
Code
tipsii40 %>%
filter(geo %in% c("DE", "BE", "FR", "IT", "NL", "ES", "EL"),
unit == "PC_GDP") %>%
quarter_to_date %>%
left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
scale_color_identity() + add_7flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = 0.01*seq(-300, 200, 20),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed")
France, Germany, Italy, Belgium, Netherlands
Code
tipsii40 %>%
filter(geo %in% c("DE", "BE", "FR", "IT", "NL", "ES"),
unit == "PC_GDP") %>%
quarter_to_date %>%
left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
scale_color_identity() + add_6flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = 0.01*seq(-300, 200, 10),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = -0.35, linetype = "dashed") +
geom_hline(yintercept = 0, linetype = "solid")
France, Germany, Italy, Spain, Netherlands
All
Code
tipsii40 %>%
filter(geo %in% c("DE", "ES", "FR", "IT", "NL"),
unit == "PC_GDP") %>%
quarter_to_date %>%
left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
scale_color_identity() + add_5flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = 0.01*seq(-300, 200, 20),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = -0.35, linetype = "dashed") +
geom_hline(yintercept = 0, linetype = "solid")
2000-
Code
tipsii40 %>%
filter(geo %in% c("DE", "ES", "FR", "IT", "NL"),
unit == "PC_GDP") %>%
quarter_to_date %>%
left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
filter(date >= as.Date("2000-01-01")) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
scale_color_identity() + add_5flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = 0.01*seq(-300, 200, 20),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = -0.35, linetype = "dashed") +
geom_hline(yintercept = 0, linetype = "solid")
2010-
Code
tipsii40 %>%
filter(geo %in% c("DE", "ES", "FR", "IT", "NL"),
unit == "PC_GDP") %>%
quarter_to_date %>%
left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
filter(date >= as.Date("2010-01-01")) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
scale_color_identity() + add_5flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = 0.01*seq(-300, 200, 20),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = -0.35, linetype = "dashed") +
geom_hline(yintercept = 0, linetype = "solid")
2017-
Code
tipsii40 %>%
filter(geo %in% c("DE", "ES", "FR", "IT", "NL"),
unit == "PC_GDP") %>%
quarter_to_date %>%
left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
filter(date >= as.Date("2017-01-01")) %>%
ggplot + geom_line(aes(x = date, y = values, color = color)) + theme_minimal() +
scale_color_identity() + add_5flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Net international investment position") +
scale_y_continuous(breaks = 0.01*seq(-300, 200, 20),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = -0.35, linetype = "dashed") +
geom_hline(yintercept = 0, linetype = "solid")