Personal remittances, received (% of GDP) - BX.TRF.PWKR.DT.GD.ZS
Data - WDI
François Geerolf
Nobs - Javascript
BX.TRF.PWKR.DT.GD.ZS %>%
left_join(iso2c, by = "iso2c") %>%
group_by(iso2c, Iso2c) %>%
rename(value = `BX.TRF.PWKR.DT.GD.ZS`) %>%
mutate(value = round(value, 1)) %>%
summarise(Nobs = n(),
`Year 1` = first(year),
`Industry Share 1 (%)` = first(value),
`Year 2` = last(year),
`Industry Share 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
BX.TRF.PWKR.DT.GD.ZS %>%
year_to_enddate %>%
filter(iso2c %in% c("AR", "CL", "UY"),
date >= as.Date("1976-01-01"),
date <= as.Date("1986-01-01")) %>%
left_join(iso2c, by = "iso2c") %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.7, 0.9),
legend.direction = "horizontal") +
scale_x_date(breaks = seq(1950, 2020, 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("Personal remittances, received (% of GDP)")
1994: Mexico
BX.TRF.PWKR.DT.GD.ZS %>%
year_to_enddate %>%
filter(iso2c %in% c("MX"),
date <= as.Date("1999-01-01"),
date >= as.Date("1989-01-01")) %>%
left_join(iso2c, by = "iso2c") %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/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, 2020, 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("Personal remittances, received (% of GDP)")
1997: East Asia - Indonesia, Korea, Malaysia, Thailand
BX.TRF.PWKR.DT.GD.ZS %>%
year_to_enddate %>%
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") %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/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, 2020, 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("Personal remittances, received (% of GDP)")
2001: Turkey
BX.TRF.PWKR.DT.GD.ZS %>%
year_to_enddate %>%
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 = BX.TRF.PWKR.DT.GD.ZS/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, 2020, 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("Personal remittances, received (% of GDP)")
Iceland
BX.TRF.PWKR.DT.GD.ZS %>%
filter(iso2c %in% c("IS")) %>%
left_join(iso2c, by = "iso2c") %>%
year_to_enddate %>%
ggplot(.) + geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100)) +
xlab("") + ylab("Personal remittances, received (% of GDP)") + theme_minimal() +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 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))
Japan
BX.TRF.PWKR.DT.GD.ZS %>%
filter(iso2c %in% c("JP")) %>%
left_join(iso2c, by = "iso2c") %>%
year_to_enddate %>%
ggplot(.) + geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100)) +
xlab("") + ylab("Personal remittances, received (% of GDP)") + theme_minimal() +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 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))
France, Germany, OECD
BX.TRF.PWKR.DT.GD.ZS %>%
filter(iso2c %in% c("OE", "FR", "DE")) %>%
left_join(iso2c, by = "iso2c") %>%
year_to_enddate %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 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("Personal remittances, received (% of GDP)")
China, France, Germany
BX.TRF.PWKR.DT.GD.ZS %>%
filter(iso2c %in% c("CN", "FR", "DE")) %>%
left_join(iso2c, by = "iso2c") %>%
year_to_enddate %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 0.1),
labels = scales::percent_format(accuracy = 0.1)) +
xlab("") + ylab("Personal remittances, received (% of GDP)")
Italy, Portugal, Spain
BX.TRF.PWKR.DT.GD.ZS %>%
filter(iso2c %in% c("ES", "IT", "PT")) %>%
left_join(iso2c, by = "iso2c") %>%
year_to_enddate %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 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("Personal remittances, received (% of GDP)")
Spain, United Kingdom, United States
BX.TRF.PWKR.DT.GD.ZS %>%
filter(iso2c %in% c("US", "GB", "ES")) %>%
left_join(iso2c, by = "iso2c") %>%
year_to_enddate %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 0.1),
labels = scales::percent_format(accuracy = 0.1)) +
xlab("") + ylab("Personal remittances, received (% of GDP)")
Argentina, Chile, Venezuela
BX.TRF.PWKR.DT.GD.ZS %>%
filter(iso2c %in% c("AR", "CL", "VE")) %>%
left_join(iso2c, by = "iso2c") %>%
year_to_enddate %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 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)) +
xlab("") + ylab("Personal remittances, received (% of GDP)")
Greece, Hong Kong, Mexico
BX.TRF.PWKR.DT.GD.ZS %>%
filter(iso2c %in% c("GR", "HK", "MX")) %>%
left_join(iso2c, by = "iso2c") %>%
year_to_enddate %>%
ggplot(.) +
geom_line(aes(x = date, y = BX.TRF.PWKR.DT.GD.ZS/100, color = Iso2c, linetype = Iso2c)) +
theme_minimal() + scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 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)) +
xlab("") + ylab("Personal remittances, received (% of GDP)")