Labour market transitions - quarterly data - lfsi_sla_q

Data - Eurostat

Author

François Geerolf

Labour Market Slack

France, Germany, Spain, Italy

Code 
lfsi_sla_q |>
  filter(geo %in% c("FR", "DE", "ES", "IT"),
         wstatus == "SLACK",
         unit == "PC_ELF",
         s_adj == "SA",
         sex == "T",
         age == "Y15-74") |>
  quarter_to_date() |>
  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_flags +
  scale_x_date(breaks = as.Date(paste0(seq(2003, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("Labour market slack (% of extended labour force)") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

France, by Component

Code 
lfsi_sla_q |>
  filter(geo == "FR",
         wstatus %in% c("SLACK", "UEMP_PT", "NSEEK_AVL", "SEEK_NAVL"),
         unit == "PC_ELF",
         s_adj == "SA",
         sex == "T",
         age == "Y15-74") |>
  quarter_to_date() |>
  mutate(values = values/100) |>
  ggplot() + geom_line(aes(x = date, y = values, color = Wstatus)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(2003, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = "right") +
  xlab("") + ylab("Share of extended labour force") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

unit

Code 
lfsi_long_q |>
  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_EMP Percentage of total employment 111159
PC_INAC Percentage of population outside the labour force 111159
PC_UNE Percentage of unemployment 111159
THS_PER Thousand persons 108837

s_adj

Code 
lfsi_long_q |>
  left_join(s_adj, by = "s_adj") |>
  group_by(s_adj, S_adj) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
s_adj S_adj Nobs
SA Seasonally adjusted data, not calendar adjusted data 221211
NSA Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data) 221103

indic_em

Code 
lfsi_long_q |>
  left_join(indic_em, by = "indic_em") |>
  group_by(indic_em, Indic_em) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()
indic_em Indic_em Nobs
E_E Transition employment - employment 49146
E_I Transition employment - outside the labour force 49146
E_U Transition employment - unemployment 49146
I_E Transition outside the labour force - employment 49146
I_I Transition outside the labour force - outside the labour force 49146
I_U Transition outside the labour force - unemployment 49146
U_E Transition unemployment - employment 49146
U_I Transition unemployment - outside the labour force 49146
U_U Transition unemployment - unemployment 49146

sex

Code 
lfsi_long_q |>
  left_join(sex, by = "sex") |>
  group_by(sex, Sex) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
sex Sex Nobs
F Females 147438
M Males 147438
T Total 147438

geo

Code 
lfsi_long_q |>
  left_join(geo, by = "geo") |>
  group_by(geo, Geo) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) |>
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

France

Table

Code 
lfsi_long_q |>
  filter(geo == "FR",
         sex == "T",
         s_adj == "SA",
         unit == "THS_PER",
         time %in% c("2015Q2", "2021Q2", "2019Q2", "2017Q2")) |>
  filter(!is.na(values)) |>
  left_join(indic_em, by = "indic_em") |>
  select(indic_em, Indic_em, time, values) |>
  spread(time, values) |>
  print_table_conditional()
indic_em Indic_em 2015Q2 2017Q2 2019Q2 2021Q2
E_E Transition employment - employment 25265 25565 26004 26288
E_I Transition employment - outside the labour force 554 553 601 644
E_U Transition employment - unemployment 524 447 434 441
I_E Transition outside the labour force - employment 447 616 499 704
I_I Transition outside the labour force - outside the labour force 16609 16882 17132 16836
I_U Transition outside the labour force - unemployment 672 723 628 706
U_E Transition unemployment - employment 643 638 599 630
U_I Transition unemployment - outside the labour force 544 562 567 581
U_U Transition unemployment - unemployment 1867 1640 1411 1233

EE, II

Code 
lfsi_long_q |>
  filter(geo == "FR",
         sex == "T",
         s_adj == "SA",
         unit != "THS_PER",
         indic_em %in% c("E_E", "I_I")) |>
  filter(!is.na(values)) |>
  left_join(indic_em, by = "indic_em") |>
  select(indic_em, Indic_em, time, values) |>
  quarter_to_date() |>
  ggplot() + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = values/100, color = Indic_em)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = scales::percent_format(acc = 1))

Italy

EE, II

Code 
lfsi_long_q |>
  filter(geo == "IT",
         sex == "T",
         s_adj == "SA",
         unit != "THS_PER",
         indic_em %in% c("E_E", "I_I")) |>
  filter(!is.na(values)) |>
  left_join(indic_em, by = "indic_em") |>
  select(indic_em, Indic_em, time, values) |>
  quarter_to_date() |>
  ggplot() + theme_minimal() + xlab("") + ylab("") +
  geom_line(aes(x = date, y = values/100, color = Indic_em)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = scales::percent_format(acc = 1))