WLD_1960-1985_EAD_v01_M
Educational Attainment Data 1960-1985
Name | Country code |
---|---|
Afghanistan | AFG |
United Arab Emirates | ARE |
Argentina | ARG |
Australia | AUS |
Austria | AUT |
Belgium | BEL |
Benin | BEN |
Bahrain | BHR |
Bolivia | BOL |
Brazil | BRA |
Barbados | BRB |
Botswana | BWA |
Central African Republic | CAF |
Canada | CAN |
Switzerland | CHE |
Chile | CHL |
Cameroon | CMR |
Congo, Dem. Rep. | COD |
Congo, Rep. | COG |
Colombia | COL |
Costa Rica | CRI |
Cyprus | CYP |
Germany | DEU |
Dominica | DMA |
Denmark | DNK |
Algeria | DZA |
Ecuador | ECU |
Egypt, Arab Rep. | EGY |
Spain | ESP |
Finland | FIN |
Fiji | FJI |
France | FRA |
United Kingdom | GBR |
Ghana | GHA |
Gambia, The | GMB |
Guinea-Bissau | GNB |
Greece | GRC |
Guatemala | GTM |
Guyana | GUY |
Hong Kong SAR, China | HKG |
Honduras | HND |
Haiti | HTI |
Hungary | HUN |
Indonesia | IDN |
India | IND |
Ireland | IRL |
Iran, Islamic Rep. | IRN |
Iraq | IRQ |
Iceland | ISL |
Israel | ISR |
Italy | ITA |
Jamaica | JAM |
Jordan | JOR |
Japan | JPN |
Kenya | KEN |
Kuwait | KWT |
Liberia | LBR |
Sri Lanka | LKA |
Lesotho | LSO |
Mexico | MEX |
Mali | MLI |
Malta | MLT |
Myanmar | MMR |
Mozambique | MOZ |
Mauritius | MUS |
Malawi | MWI |
Malaysia | MYS |
Niger | NER |
Nicaragua | NIC |
Netherlands | NLD |
Norway | NOR |
Nepal | NPL |
New Zealand | NZL |
Pakistan | PAK |
Panama | PAN |
Peru | PER |
Philippines | PHL |
Papua New Guinea | PNG |
Poland | POL |
Portugal | PRT |
Paraguay | PRY |
Rwanda | RWA |
Sudan | SDN |
Senegal | SEN |
Singapore | SGP |
Solomon Islands | SLB |
Sierra Leone | SLE |
El Salvador | SLV |
Sweden | SWE |
Eswatini | SWZ |
Seychelles | SYC |
Syrian Arab Republic | SYR |
Togo | TGO |
Thailand | THA |
Trinidad and Tobago | TTO |
Tunisia | TUN |
Turkiye | TUR |
Taiwan, China | TWN |
Tanzania | TZA |
Uganda | UGA |
Uruguay | URY |
United States | USA |
Venezuela, RB | VEN |
Vanuatu | VUT |
Yemen, Rep. | YEM |
South Africa | ZAF |
Zambia | ZMB |
Zimbabwe | ZWE |
Yugoslavia Fed. Rep. | YUG |
Many theories of economic growth stress the role of human capital in the form of education, but empirical studies have been hampered by inadequate data. The authors describe a data set on educational attainment for 120 countries over five- year periods from 1960 to 1985. Census and survey figures fill over 40% of the cells, and the remainder are estimated from school-enrollment data by a perpetual- inventory method. The data refer to male and female attainment of the adult population at four levels: no schooling, primary, secondary, and higher. They also provide a rough breakdown into incomplete and complete attainment at the three levels of schooling.
Aggregate data [agg]
Dataset used for Barro, Robert J. and Jong-Wha Lee, "International Comaprisons of Educational Attainment", NBER Working Paper No. W4349, 1993.
The original dataset has two plain ASCII (text) files: SCHOOL1.RAW, which contains data on schooling of the total population, and SCHOOL2.RAW, which contains the same data for the male and female population. Each file has 664 records (lines) of data, of which each line represents one country in one year. All 108 countries have 6 lines of data (108 x 6 = 648) and the remaining seven countries have 18 records in total. The seven countries, which have incomplete time series data on schooling, are Seychelles (Summers-Heston code 35), Dominica (52), St. Lucia (63), St. Vincent (64), Solomon Islands (135), Vanuatu (137), and Western Samoa (138).
1993
The file contains the data set on educational attainment at various levels for the male and female population aged 25 and above. Out of the 129 countries constructed by Barro and Lee (1993), the data set includes 115 countries, which are in the sample countries of the Summers-Heston (1991) Mark 5. Data are presented, quinquennially, for the years 1960-1985.
The authors describe a data set on educational attainment for 120 countries over five- year periods from 1960 to 1985.
Name |
---|
Robert J. Barro and Jong-Wha Lee |
Start | End |
---|---|
1960 | 1985 |
Start date | End date |
---|---|
1960 | 1985 |
Census and survey figures fill over 40% of the cells, and the remainder are estimated from school-enrollment data by a perpetual- inventory method. The data refer to male and female attainment of the adult population at four levels: no schooling, primary, secondary, and higher. They also provide a rough breakdown into incomplete and complete attainment at the three levels of schooling.
Use of the dataset must be acknowledged using a citation which would include:
Example:
Robert J. Barro and Jong-Wha Lee. Educational Attainment Data (EAD) 1960-1985. Ref. WLD_EAD_1985_v01_M. Dataset downloaded from http://microdata.worldbank.org on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | URL | |
---|---|---|---|
Development Research Group | World Bank | research@worldbank.org | http://go.worldbank.org/B9W4QTDHR0 |
DDI_WLD_1960-1985_EAD_v02_M
2010-11-03
DDI Document - Version 02 - (04/27/21)
This version is identical to DDI_WLD_1960-1985_EAD_v01_M but country field has been updated to capture all the countries covered by survey.
Version 01 (November 2010)