A new dataset on educational inequality
This paper describes a new dataset, in which measures of educational level and inequality were collected for 48 countries over 13 5-year birth cohorts. Drawing on four representative international surveys ( ess , eu-silc , ials and issp ), we collected measures of individual educational attainment a...
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| Veröffentlicht in: | Empirical economics 2014-09, Vol.47 (2), p.695-716 |
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| container_title | Empirical economics |
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| creator | Meschi, Elena Scervini, Francesco |
| description | This paper describes a new dataset, in which measures of educational level and inequality were collected for 48 countries over 13 5-year birth cohorts. Drawing on four representative international surveys (
ess
,
eu-silc
,
ials
and
issp
), we collected measures of individual educational attainment and aggregated them to generate synthetic indices of educational level and dispersion by countries and birth cohorts. The paper provides a detailed description of the procedures and methodologies adopted to build the new dataset, analyses the validity and consistency of the measures across surveys and discusses the relevance of these data for future research. |
| doi_str_mv | 10.1007/s00181-013-0758-6 |
| format | Article |
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ess
,
eu-silc
,
ials
and
issp
), we collected measures of individual educational attainment and aggregated them to generate synthetic indices of educational level and dispersion by countries and birth cohorts. The paper provides a detailed description of the procedures and methodologies adopted to build the new dataset, analyses the validity and consistency of the measures across surveys and discusses the relevance of these data for future research.</description><identifier>ISSN: 0377-7332</identifier><identifier>EISSN: 1435-8921</identifier><identifier>DOI: 10.1007/s00181-013-0758-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analysis ; Datasets ; Econometrics ; Economic growth ; Economic theory ; Economic Theory/Quantitative Economics/Mathematical Methods ; Economics ; Economics and Finance ; Education ; Educational attainment ; Educational inequality ; Finance ; Human capital ; Income distribution ; Inequality ; Insurance ; Management ; Statistics for Business ; Studies</subject><ispartof>Empirical economics, 2014-09, Vol.47 (2), p.695-716</ispartof><rights>Springer-Verlag Berlin Heidelberg 2013</rights><rights>Springer-Verlag Berlin Heidelberg 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-c91d5f1bf43a136f3d48fa23fbefcec72baa1df6edc70e152ddf8dfba81d6bee3</citedby><cites>FETCH-LOGICAL-c456t-c91d5f1bf43a136f3d48fa23fbefcec72baa1df6edc70e152ddf8dfba81d6bee3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00181-013-0758-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00181-013-0758-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Meschi, Elena</creatorcontrib><creatorcontrib>Scervini, Francesco</creatorcontrib><title>A new dataset on educational inequality</title><title>Empirical economics</title><addtitle>Empir Econ</addtitle><description>This paper describes a new dataset, in which measures of educational level and inequality were collected for 48 countries over 13 5-year birth cohorts. Drawing on four representative international surveys (
ess
,
eu-silc
,
ials
and
issp
), we collected measures of individual educational attainment and aggregated them to generate synthetic indices of educational level and dispersion by countries and birth cohorts. The paper provides a detailed description of the procedures and methodologies adopted to build the new dataset, analyses the validity and consistency of the measures across surveys and discusses the relevance of these data for future research.</description><subject>Analysis</subject><subject>Datasets</subject><subject>Econometrics</subject><subject>Economic growth</subject><subject>Economic theory</subject><subject>Economic Theory/Quantitative Economics/Mathematical Methods</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Education</subject><subject>Educational attainment</subject><subject>Educational inequality</subject><subject>Finance</subject><subject>Human capital</subject><subject>Income distribution</subject><subject>Inequality</subject><subject>Insurance</subject><subject>Management</subject><subject>Statistics for Business</subject><subject>Studies</subject><issn>0377-7332</issn><issn>1435-8921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kD9PwzAQRy0EEqXwAdgiMTAZ7uL4T8eqgoJUiQVmy7HPKFVJWjsR6rcnVRhYmG5576fTY-wW4QEB9GMGQIMcUHDQ0nB1xmZYCcnNosRzNgOhNddClJfsKuctAAgjqxm7XxYtfRfB9S5TX3RtQWHwrm-61u2KpqXD4HZNf7xmF9HtMt383jn7eH56X73wzdv6dbXccF9J1XO_wCAj1rESDoWKIlQmulLEmqInr8vaOQxRUfAaCGUZQjQh1s5gUDWRmLO7aXefusNAubfbbkjjL9milAAKKhAjhRPlU5dzomj3qfly6WgR7KmHnXrYsYc99bBqdMrJySPbflL6s_yv9AP7HmM4</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Meschi, Elena</creator><creator>Scervini, Francesco</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20140901</creationdate><title>A new dataset on educational inequality</title><author>Meschi, Elena ; 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Drawing on four representative international surveys (
ess
,
eu-silc
,
ials
and
issp
), we collected measures of individual educational attainment and aggregated them to generate synthetic indices of educational level and dispersion by countries and birth cohorts. The paper provides a detailed description of the procedures and methodologies adopted to build the new dataset, analyses the validity and consistency of the measures across surveys and discusses the relevance of these data for future research.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00181-013-0758-6</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0377-7332 |
| ispartof | Empirical economics, 2014-09, Vol.47 (2), p.695-716 |
| issn | 0377-7332 1435-8921 |
| language | eng |
| recordid | cdi_proquest_journals_1550060403 |
| source | EBSCOhost Business Source Complete; SpringerLink Journals - AutoHoldings |
| subjects | Analysis Datasets Econometrics Economic growth Economic theory Economic Theory/Quantitative Economics/Mathematical Methods Economics Economics and Finance Education Educational attainment Educational inequality Finance Human capital Income distribution Inequality Insurance Management Statistics for Business Studies |
| title | A new dataset on educational inequality |
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