Current account balance (% of GDP)

Data - WDI

Author

François Geerolf

Info

source dataset .html .RData

wdi

BN.CAB.XOKA.GD.ZS

 2024-09-15 2024-09-18

wdi

NE.RSB.GNFS.ZS

 2024-09-15 2024-09-18

Data on main macro

source dataset .html .RData

eurostat

nama_10_a10

 2024-09-15 2024-09-15

eurostat

nama_10_a10_e

 2024-09-15 2024-09-18

eurostat

nama_10_gdp

 2024-09-15 2024-09-15

eurostat

nama_10_lp_ulc

 2024-09-15 2024-09-15

eurostat

namq_10_a10

 2024-09-15 2024-09-18

eurostat

namq_10_a10_e

 2024-09-15 2024-09-15

eurostat

namq_10_gdp

 2024-09-04 2024-09-15

eurostat

namq_10_lp_ulc

 2024-09-15 2024-09-15

eurostat

namq_10_pc

 2024-08-21 2024-09-15

eurostat

nasa_10_nf_tr

 2024-09-15 2024-09-15

eurostat

nasq_10_nf_tr

 2024-09-02 2024-09-02

fred

gdp

 2024-08-29 2024-09-14

oecd

QNA

 2024-06-06 2024-06-30

oecd

SNA_TABLE1

 2024-09-15 2024-06-30

oecd

SNA_TABLE14A

 2024-09-15 2024-06-30

oecd

SNA_TABLE2

 2024-07-01 2024-04-11

oecd

SNA_TABLE6A

 2024-07-01 2024-06-30

wdi

NE.RSB.GNFS.ZS

 2024-09-15 2024-09-18

wdi

NY.GDP.MKTP.CD

 2024-09-15 2024-09-18

wdi

NY.GDP.MKTP.PP.CD

 2024-09-15 2024-09-18

wdi

NY.GDP.PCAP.CD

 2024-09-15 2024-09-18

wdi

NY.GDP.PCAP.KD

 2024-09-15 2024-09-18

wdi

NY.GDP.PCAP.PP.CD

 2024-09-15 2024-09-18

wdi

NY.GDP.PCAP.PP.KD

 2024-09-15 2024-09-18

LAST_COMPILE

LAST_COMPILE
2024-09-18

Last

Code 
BN.CAB.XOKA.GD.ZS %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  head(1) %>%
  print_table_conditional()
year Nobs
2023 113

Frugal Four

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("SE", "AT", "NL","DK")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Nobs - Javascript

Code 
BN.CAB.XOKA.GD.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  mutate(value = round(value, 2)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `CA 1 (%)` = first(value),
            `Year 2` = last(year),
            `CA 2 (%)` = last(value)) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Crises in Emerging Markets (Source: Vegh (2013))

1982: Southern Cone - Argentina, Chile, Uruguay

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("AR", "CL", "UY"),
            date <= as.Date("1986-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1994: Mexico

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("MX"),
         date >= as.Date("1989-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1995: Hungary

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("HU"),
         date >= as.Date("1995-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1997: Russia

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("RU"),
         date <= as.Date("2002-01-01"),
         date >= as.Date("1980-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100, color = Iso2c, linetype = Iso2c)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1997: East Asia - Indonesia, Korea, Malaysia, Thailand

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("ID", "KR", "MY", "TH"),
         date <= as.Date("2002-01-01"),
         date >= as.Date("1992-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100,
         Iso2c = ifelse(iso2c == "KR", "South Korea", Iso2c)) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2001: Turkey

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("TR"),
         date <= as.Date("2006-01-01"),
         date >= as.Date("1996-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2002: Uruguay Crisis

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("UY"),
         date <= as.Date("2006-01-01"),
         date >= as.Date("1996-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Israel

All

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("IL")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2000-

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("IL"),
         date >= as.Date("2000-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2010-

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("IL"),
         date >= as.Date("2010-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Lebanon

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("LB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Vietnam

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("VN"),
         date >= as.Date("1995-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Russia

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("RU"),
         date >= as.Date("1995-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Iceland

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("IS"),
         date >= as.Date("1995-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Lebanon, Greece

French

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("LB", "GR")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_2flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Costa Rica, Philippines

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("CR", "PH")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_2flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

France, Germany, Italy

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("IT", "FR", "DE")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

France, Germany, Italy, China

All

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("IT", "FR", "DE", "CN")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1982-

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("IT", "FR", "DE", "CN")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  filter(date >= as.Date("1982-01-01")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Saudi Arabia, Jordan, Kuwait

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("SA", "JO", "KW")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "KW", color2, color)) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 5),
                     labels = scales::percent_format(accuracy = 1),
                     limits = c(-0.25, 0.6)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Canada, Israel, The Netherlands

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("CA", "IL", "NL")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Argentina, Chile, Uruguay

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("AR", "CL", "UY")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")