Equality of opportunity and the distribution of long-run income in Sweden

Björklund, Anders; Jäntti, Markus; Roemer, John E.

doi:10.1007/s00355-011-0609-3

Cited by 117 publications

(114 citation statements)

References 21 publications

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“…However, it should be noted that our estimate of unobserved heterogeneity also includes all unobserved abilities and innate talent. This is in line with Björklund et al (2011), who indicate that the intelligence quotient (IQ) is the most important circumstance among the variables that they consider to explain di¤erences in earnings. In addition, results from the literature on sibling correlations also emphasize the importance of family background and genetic material (Solon (1999), ).…”

Section: Resultssupporting

confidence: 86%

“…there is no implicit tagging on circumstances in the tax systems of Germany and the US. Our results further indicate that unobserved circumstances, such as ability and talent, are important determinants of inequality (in line with …ndings for Sweden, see Björklund et al (2011)). Furthermore, we identify gender as an important source of IOp which is mainly driven by the indirect e¤ect of gender on earning outcomes through the selection into part-time employment.…”

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confidence: 90%

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Lower and Upper Bounds of Unfair Inequality: Theory and Evidence for Germany and the US

Niehues

Peichl

2011

SSRN Journal

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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 der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SOEPpapers on Multidisciplinary Panel Data Research at DIW BerlinThis series presents research findings based either directly on data from the German SocioEconomic Panel Study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science.The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly.Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin.Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions. AbstractPrevious estimates of unfair inequality of opportunity (IOp) are only lower bounds because of the unobservability of the full set of endowed circumstances beyond the sphere of individual responsibility. In this paper, we suggest a new estimator based on a …xed e¤ects panel model which additionally allows identifying an upper bound. We illustrate our approach by comparing Germany and the US based on harmonized micro data. We …nd signi…cant and robust di¤erences between lower and upper bound estimates -both for gross and net earnings based either on periodical or permanent income -for both countries. We discuss the cross-country di¤erences and similarities in IOp in the light of di¤erences in social mobility and persistence.

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Section: Resultssupporting

confidence: 86%

supporting

confidence: 90%

Lower and Upper Bounds of Unfair Inequality: Theory and Evidence for Germany and the US

Niehues

Peichl

2011

SSRN Journal

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“…Since the residuals potentially include some omitted circumstances we follow the method proposed by Bjorklund et al [4] which consists in splitting the residuals in a term which is standardized by standard error conditional on circumstances, and an heteroskedastic term depending on circumstances 2 . Since the dependence of the heteroskedastic term on circumstances is close to zero, we do not include this additional term in our specification for the rest of the paper.…”

Section: Methodsmentioning

confidence: 99%

An Ex-Post View of Inequality of Opportunity in France and its Regions

Carpantier

Sapata

2013

J Labor Res

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“…Como primer paso en esta dirección varios autores se han enfocado en la medición de la desigualdad de oportunidades de ingresos o de consumo (Björklund, Jäntti, & Roemer, 2012;Bourguignon, Ferreira, & Menéndez, 2007Bourguignon, Ferreira, & Walton, 2007;Brunori, Ferreira, Lugo, & Peragine 2013;Checchi & Peragine, 2005, 2010Checchi, Peragine, & Serlenga, 2008;Ferreira, Gignoux, & Aran, 2011;Kanbur & Stiglitz, 2016;Lefranc, Pistolesi, & Trannoy, 2008, 2009Milanovic 2015;Paes, Ferreira, Vega, & Chanduvi, 2008;Peragine, 2004;Singh, 2012;Yalonetzky, 2012).…”

Section: Introductionunclassified

Desigualdad de oportunidades educativas en Argentina

Serio¹

2017

EPAA

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Citation: Serio, M. (2017). Desigualdad de oportunidades educativas en Argentina. Archivos Analíticos de Políticas Educativas, 25(121). http://dx.doi.org/10.14507/epaa.25.2740Resumen: Este trabajo explora la desigualdad de oportunidades educativas de los jóvenes de Argentina en los años 2000. El análisis se enfoca en tres dimensiones del nivel medio educativo: acceso a la educación, calidad educativa y desempeño educativo. Se estiman distribuciones contrafactuales de resultados educativos condicionadas a las circunstancias de los estudiantes utilizando micro-datos de las encuestas de hogares del país y de PISA. Los resultados sugieren que la desigualdad de oportunidades en el acceso a educación es baja y se ha mantenido estable mientras que la desigualdad de oportunidades en el acceso a calidad educativa ha aumentado en la última década. Respecto al desempeño educativo la misma es particularmente alta en el país. Palabras-clave: educación; desigualdad de oportunidades; Argentina Educational inequality of opportunity in Argentina Abstract: This paper analyzes the inequality of opportunity on education among young students of Argentina in the 2000s. It focuses on three dimensions of secondary education: access to education, access to quality education, and educational performance of students. We estimate distributions of educational outcomes conditional to the students' circumstances using household survey data and PISA data. The results suggest that inequality of opportunity in access to secondary education is low and it has remained

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Equality of opportunity and the distribution of long-run income in Sweden

Cited by 117 publications

References 21 publications

Lower and Upper Bounds of Unfair Inequality: Theory and Evidence for Germany and the US

Lower and Upper Bounds of Unfair Inequality: Theory and Evidence for Germany and the US

An Ex-Post View of Inequality of Opportunity in France and its Regions

Desigualdad de oportunidades educativas en Argentina

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