sources
Data license: CC-BY
1 row where datasetId = 289 sorted by id descending
This data as json, CSV (advanced)
Suggested facets: createdAt (date), updatedAt (date)
id ▲ | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
---|---|---|---|---|---|---|---|---|
389 | Lee and Lee (2016) | { "link": "http://www.barrolee.com/Lee_Lee_LRdata_dn.htm", "retrievedDate": "29/08/2016", "additionalInfo": "Author's note: \"We construct a complete data set of historical enrollment ratios, subdivided by education level and gender, for 111 countries from 1820 to 1945 (at five-year intervals) by using newly compiled census observations and information on the year of establishment of the oldest school in individual countries. Then, by utilizing these enrollment ratios, as well as available census data from 1945 onward on different age groups' educational attainment, we construct a data set of estimated educational attainment, disaggregated by gender and age group, and aggregate human capital stock that spans from 1870 to 2010.\"\n\nFor regional estimates, the authors classify the following countries as 'Advanced Economies': Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Japan, Luxembourg, Netherlands, New Zealand, Norway, Portugal, Spain, Sweden, Switzerland, Turkey, USA, United Kingdom. Further details on regional classifications are available in the source paper.", "dataPublishedBy": "Lee and Lee (2016), Human capital in the long run. Journal of Development Economics", "dataPublisherSource": "Compiled census observations and information on the year of establishment of the oldest school in individual countries." } |
2016-08-29 19:47:15 | 2017-11-02 13:04:39 | Human Capital in Long-Run - Lee-Lee (2016) 289 | Author's note: "We construct a complete data set of historical enrollment ratios, subdivided by education level and gender, for 111 countries from 1820 to 1945 (at five-year intervals) by using newly compiled census observations and information on the year of establishment of the oldest school in individual countries. Then, by utilizing these enrollment ratios, as well as available census data from 1945 onward on different age groups' educational attainment, we construct a data set of estimated educational attainment, disaggregated by gender and age group, and aggregate human capital stock that spans from 1870 to 2010." For regional estimates, the authors classify the following countries as 'Advanced Economies': Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Japan, Luxembourg, Netherlands, New Zealand, Norway, Portugal, Spain, Sweden, Switzerland, Turkey, USA, United Kingdom. Further details on regional classifications are available in the source paper. | http://www.barrolee.com/Lee_Lee_LRdata_dn.htm | Lee and Lee (2016), Human capital in the long run. Journal of Development Economics |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE "sources" ( "id" INTEGER PRIMARY KEY AUTOINCREMENT, "name" VARCHAR(512) NULL , "description" TEXT NOT NULL , "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP , "updatedAt" DATETIME NULL , "datasetId" INTEGER NULL, additionalInfo TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.additionalInfo')) VIRTUAL, link TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.link')) VIRTUAL, dataPublishedBy TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.dataPublishedBy')) VIRTUAL, FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT ); CREATE INDEX "sources_datasetId" ON "sources" ("datasetId");