Arbeitspapier
A Bayesian Analysis of Female Wage Dynamics Using Markov Chain Clustering
In this work, we analyze wage careers of women in Austria. We identify groups of female employees with similar patterns in their earnings development. Covariates such as e.g. the age of entry, the number of children or maternity leave help to detect these groups. We find three different types of female employees: (1) high-wage mums, women with high income and one or two children, (2) low-wage mums, women with low income and many children and (3) childless careers, women who climb up the career ladder and do not have children. We use a Markov chain clustering approach to find groups in the discretevalued time series of income states. Additional covariates are included when modeling group membership via a multinomial logit model.
- Language
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Englisch
- Bibliographic citation
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Series: NRN Working Paper, NRN: The Austrian Center for Labor Economics and the Analysis of the Welfare State ; No. 1104
- Classification
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Wirtschaft
- Subject
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Income Career
Transition Data
Multinomial Logit
Auxiliary Mixture Sampler
Markov Chain Monte Carlo
- Event
-
Geistige Schöpfung
- (who)
-
Pamminger, Christoph
Tüchler, Regina
- Event
-
Veröffentlichung
- (who)
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Johannes Kepler University Linz, NRN - The Austrian Center for Labor Economics and the Analysis of the Welfare State
- (where)
-
Linz
- (when)
-
2011
- Handle
- Last update
-
10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Pamminger, Christoph
- Tüchler, Regina
- Johannes Kepler University Linz, NRN - The Austrian Center for Labor Economics and the Analysis of the Welfare State
Time of origin
- 2011
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