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. © 2013 Springer-Verlag Berlin Heidelberg.

Meschi, E., Scervini, F. (2014). A new dataset on educational inequality. EMPIRICAL ECONOMICS, 47(2), 695-716 [10.1007/s00181-013-0758-6].

A new dataset on educational inequality

Meschi, Elena;
2014

Abstract

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. © 2013 Springer-Verlag Berlin Heidelberg.
Articolo in rivista - Articolo scientifico
Cohorts; Cross-country; Dispersion indices; Educational attainment; Educational inequality; New dataset; Statistics and Probability; Mathematics (miscellaneous); Social Sciences (miscellaneous); Economics and Econometrics
English
2014
47
2
695
716
reserved
Meschi, E., Scervini, F. (2014). A new dataset on educational inequality. EMPIRICAL ECONOMICS, 47(2), 695-716 [10.1007/s00181-013-0758-6].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/215190
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