Strictness of employment protection – collective dismissals (additional restrictions) - EPL_CD

Data - OECD

~/data/oecd/

Data Structure

EPL_CD_var %>%
  pluck("VAR_DESC") %>%
  {if (is_html_output()) print_table(.) else .}

id	description
COUNTRY	Country
TIME	Time
OBS_VALUE	Observation Value
TIME_FORMAT	Time Format
OBS_STATUS	Observation Status
UNIT	Unit
POWERCODE	Unit multiplier
REFERENCEPERIOD	Reference period

COUNTRY

EPL_CD %>%
  left_join(EPL_CD_var$COUNTRY %>%
              setNames(c("COUNTRY", "COUNTRY desc")), by = "COUNTRY") %>%
  group_by(COUNTRY, `COUNTRY desc`) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

France, Germany, Italy

EPL_CD %>%
  filter(COUNTRY %in% c("FRA", "ITA", "DEU")) %>%
  left_join(EPL_CD_var$COUNTRY %>%
              setNames(c("COUNTRY", "COUNTRY desc")), by = "COUNTRY") %>%
  year_to_enddate %>%
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = obsValue, color = `COUNTRY desc`, linetype = `COUNTRY desc`)) + 
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.85, 0.9),
        legend.title = element_blank()) +
  xlab("") + ylab("Strictness of employment protection") +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.85, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(0, 6, 1),
                     limits = c(0, 6))

Australia, United Kingdom, United States

EPL_CD %>%
  filter(COUNTRY %in% c("AUS", "GBR", "USA")) %>%
  left_join(EPL_CD_var$COUNTRY %>%
              setNames(c("COUNTRY", "COUNTRY desc")), by = "COUNTRY") %>%
  year_to_enddate %>%
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = obsValue, color = `COUNTRY desc`, linetype = `COUNTRY desc`)) + 
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.85, 0.9),
        legend.title = element_blank()) +
  xlab("") + ylab("Strictness of employment protection") +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.25, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(0, 5, 0.2))