2003
DOI: 10.1016/s0272-7757(01)00060-7
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Wage and test score dispersion: some international evidence

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 46 publications
(21 citation statements)
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“…Using a wider Some studies have linked student competences assessed during high school with income inequality. Bedard and Ferrall (2003) show a positive association between inequality in mathematics performance during high school and wage inequality in adulthood of the same birth cohorts. Moreover, the association was hardly affected by including trade union density as an indicator of (wage-compressing) wage centralization.…”
Section: Education Inequality and Earnings Inequalitymentioning
confidence: 83%
“…Using a wider Some studies have linked student competences assessed during high school with income inequality. Bedard and Ferrall (2003) show a positive association between inequality in mathematics performance during high school and wage inequality in adulthood of the same birth cohorts. Moreover, the association was hardly affected by including trade union density as an indicator of (wage-compressing) wage centralization.…”
Section: Education Inequality and Earnings Inequalitymentioning
confidence: 83%
“…As a major result, Bedard and Ferrall (1997) find that the wage dispersion is generally lower than the test score dispersion across countries as well as over time. There is a negative correlation between wage and skill dispersion.…”
Section: Major Results Referring To Germanymentioning
confidence: 94%
“…In a further cross-country analysis, Bedard and Ferrall (1997) use data on eleven countries (including West Germany), where information on test score dispersion comes from the First (1962) and Second (1982) International Mathematics Examinations (IME) and data documenting the cohort's wages later in life comes from the Luxembourg Income Study (LIS) and national panel studies they do not specify in detail. The IME data includes information on the following countries: Australia, Belgium, Finland, France, West Germany, Japan, the Netherlands, Sweden, Ontario, the U.K., and the U.S.A.…”
Section: The Data Sourcesmentioning
confidence: 99%
“…Accordingly, inequality in education achievement and earning inequality are correlated, within the United States and across countries [26,27]. Majority of key informants in the study agreed that in both regions, there is a high level of educational inequality in most schools in form of economic status.…”
Section: Educational Inequality and Quality Of Life After Schoolmentioning
confidence: 94%