Strictness of employment protection – individual and collective dismissals (regular contracts)
Data - OECD
Info
Data on employment
| source | dataset | Title | Updated |
|---|---|---|---|
| bls | jt | NA | NA |
| bls | la | NA | NA |
| bls | ln | NA | NA |
| eurostat | nama_10_a10_e | Employment by A*10 industry breakdowns | 2026-08-13 |
| eurostat | nama_10_a64_e | National accounts employment data by industry (up to NACE A*64) | 2026-08-13 |
| eurostat | namq_10_a10_e | Employment A*10 industry breakdowns | 2026-08-13 |
| eurostat | une_rt_m | Unemployment by sex and age – monthly data | 2026-08-13 |
| oecd | ALFS_EMP | Employment by activities and status (ALFS) | 2026-08-02 |
| oecd | EPL_T | Strictness of employment protection – temporary contracts | 2026-08-02 |
| oecd | LFS_SEXAGE_I_R | LFS by sex and age - indicators | 2026-08-02 |
| oecd | STLABOUR | Short-Term Labour Market Statistics | 2026-08-02 |
LAST_DOWNLOAD
Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/oecd/EPL_OV.RData")$mtime)) |>
print_table_conditional()| LAST_DOWNLOAD |
|---|
| NA |
LAST_COMPILE
| LAST_COMPILE |
|---|
| 2026-08-15 |
Last
| obsTime | Nobs |
|---|---|
| 2019 | 172 |
SERIES
Code
EPL_OV |>
left_join(EPL_OV_var$SERIES, by = "SERIES") |>
group_by(SERIES, Series) |>
summarise(Nobs = n()) |>
arrange(-Nobs) %>%
{if (is_html_output()) print_table(.) else .}| SERIES | Series | Nobs |
|---|---|---|
| EPRC_V1 | Version 1 (1985-2019) | 1129 |
| EPRC_V2 | Version 2 (1998-2019) | 806 |
| EPRC_V3 | Version 3 (2008-2019) | 526 |
| EPRC_V4 | Version 4 (2013-2019) | 293 |
COUNTRY
Code
EPL_OV |>
left_join(EPL_OV_var$COUNTRY, by = "COUNTRY") |>
group_by(COUNTRY, Country) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Country))),
Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) |>
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}France, Germany, Italy
Code
EPL_OV |>
filter(SERIES == "EPRC_V1",
COUNTRY %in% c("FRA", "ITA", "DEU")) |>
left_join(EPL_OV_var$COUNTRY, by = "COUNTRY") |>
year_to_date() |>
left_join(colors, by = c("Country" = "country")) |>
rename(Location = Country) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags + theme_minimal() +
xlab("") + ylab("Strictness of employment protection") +
scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 6, .1))
Australia, United Kingdom, United States
Code
EPL_OV |>
filter(SERIES == "EPRC_V1",
COUNTRY %in% c("AUS", "GBR", "USA")) |>
left_join(EPL_OV_var$COUNTRY, by = "COUNTRY") |>
year_to_date() |>
left_join(colors, by = c("Country" = "country")) |>
rename(Location = Country) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags + theme_minimal() +
xlab("") + ylab("Strictness of employment protection") +
scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 5, 0.2))
Australia, United Kingdom, United States, France, Germany, Italy, Spain
Code
EPL_OV |>
filter(SERIES == "EPRC_V1",
COUNTRY %in% c("AUS", "GBR", "USA", "FRA", "ITA", "DEU", "ESP")) |>
left_join(EPL_OV_var$COUNTRY, by = "COUNTRY") |>
year_to_date() |>
left_join(colors, by = c("Country" = "country")) |>
rename(Location = Country) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_7flags + theme_minimal() +
xlab("") + ylab("Strictness of employment protection") +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 5, 0.2))