Long-run cross-country educational-attainment series compiled by Lee
& Lee (2016), covering 111 countries every 5 years from 1870 to 2010.
The bundled indicator is the cumulative share of the population
aged 15–64 who completed at least the level indicated by level
(primary, secondary, or tertiary). The dataset is the internal
backing store consumed by get_attainment().
Format
A tibble with approximately 29 000 rows and 12 columns:
- year
integer. Reference year (1870–2010, in 5-year steps).- geo_level
character. Always"country".- geo_code
character. ISO 3166-1 alpha-3 country code (e.g."BRA","USA","ARG").- geo_name
character. English country name as supplied by the upstream source (e.g."Brazil","United Kingdom").- level
character. ISCED-style level:"primary","secondary", or"tertiary".- dim_sex
character."male","female", or"total"(= Lee & Leesex == "MF").- age_group
character. Always"15-64"— Lee & Lee report attainment for the population aged 15–64.- indicator
character. Always"attainment_share_completed".- value
double. Cumulative share (0–100) who completed at least the indicated level.- unit
character. Always"percent".- source
character. Always"lee_lee_2016".- source_note
character. Inline bibliographic reference.
Source
Lee, J.-W., & Lee, H. (2016). Human capital in the long run.
Journal of Development Economics, 122, 147–169.
doi:10.1016/j.jdeveco.2016.05.006
. Dataset:
https://barrolee.github.io/BarroLeeDataSet/DataLeeLee.html.
ETL script: data-raw/06_build_lee_lee_2016.R.
Cumulative encoding
Lee & Lee follow the Barro-Lee convention: four mutually exclusive
shares by highest level attended (lu no schooling, lp
primary, ls secondary, lh tertiary; lu + lp + ls + lh = 100),
each with a "completed" subset (lpc within lp, lsc within
ls, lhc within lh). The ETL script
(data-raw/06_build_lee_lee_2016.R) combines them into the more
conventional "share who completed at least X" used in
cross-country comparisons:
level = "primary"value = lpc + ls + lhlevel = "secondary"value = lsc + lhlevel = "tertiary"value = lhc
By construction, 100 >= primary >= secondary >= tertiary >= 0 for any (country, year, sex). Versions of educabr2 before 0.1.2 double-counted the completed subsets and overstated primary and secondary shares; tertiary was unaffected.
