Arbeitspapier
The evolution of inequality of opportunity in Germany: A machine learning approach
We show that measures of inequality of opportunity (IOP) fully consistent with Roemer (1998)'s IOP theory can be straightforwardly estimated by adopting a machine learning approach, and apply our novel method to analyse the development of IOP in Germany during the last three decades. Hereby, we take advantage of information contained in 25 waves of the Socio-Economic Panel. Our analysis shows that in Germany IOP declined immediately after reunification, increased in the first decade of the century, and slightly declined again after 2010. Over the entire period, at the top of the distribution we always find individuals that resided in West-Germany before the fall of the Berlin Wall, whose fathers had a high occupational position, and whose mothers had a high educational degree. East-German residents in 1989, with low educated parents, persistently qualify at the bottom.
- Sprache
-
Englisch
- Erschienen in
-
Series: Documento de Trabajo ; No. 259
- Klassifikation
-
Wirtschaft
Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Distribution: General
Personal Income, Wealth, and Their Distributions
- Thema
-
Inequality
Opportunity
SOEP
Germany
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Brunori, Paolo
Neidhöfer, Guido
- Ereignis
-
Veröffentlichung
- (wer)
-
Universidad Nacional de La Plata, Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS)
- (wo)
-
La Plata
- (wann)
-
2020
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:46 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Brunori, Paolo
- Neidhöfer, Guido
- Universidad Nacional de La Plata, Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS)
Entstanden
- 2020
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