Arbeitspapier
Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering
This paper analyzes patterns in the earnings development of young labor market entrants over their life cycle. We identify four distinctly different types of transition patterns between discrete earnings states in a large administrative data set. Further, we investigate the effects of labor market conditions at the time of entry on the probability of belonging to each transition type. To estimate our statistical model we use a model-based clustering approach. The statistical challenge in our application comes from the di±culty in extending distance-based clustering approaches to the problem of identify groups of similar time series in a panel of discrete-valued time series. We use Markov chain clustering, proposed by Pamminger and Frühwirth-Schnatter (2010), which is an approach for clustering discrete-valued time series obtained by observing a categorical variable with several states. This method is based on finite mixtures of first-order time-homogeneous Markov chain models. In order to analyze group membership we present an extension to this approach by formulating a probabilistic model for the latent group indicators within the Bayesian classification rule using 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. 1014
- Classification
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Wirtschaft
- Subject
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Labor Market Entry Conditions
Transition Data
Markov Chain Monte Carlo
Multinomial Logit
Panel Data
Auxiliary Mixture Sampler
Bayesian Statistics
- Event
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Geistige Schöpfung
- (who)
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Frühwirth-Schnatter, Sylvia
Pamminger, Christoph
Weber, Andrea
Winter-Ebmer, Rudolf
- Event
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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)
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Linz
- (when)
-
2010
- Handle
- Last update
-
10.03.2025, 11:41 AM CET
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
- Frühwirth-Schnatter, Sylvia
- Pamminger, Christoph
- Weber, Andrea
- Winter-Ebmer, Rudolf
- Johannes Kepler University Linz, NRN - The Austrian Center for Labor Economics and the Analysis of the Welfare State
Time of origin
- 2010
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Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering
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Labor market policy in Austria during the crises
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Einflüsse von Störgrössen auf die im Agroökosystem Winterweizen auftretenden Schaderregerarten und ihre Interaktionen
Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering
Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering
Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering
Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering
Labor market policy in Austria during the crises
Clash of career and family: fertility decisions after job displacement
Clash of Career and Family: Fertility Decisions after Job Displacement
Clash of career and family: Fertility decisions after job displacement
Fertility and Economic Instability: The Role of Unemployment and Job Displacement
Fertility and Economic Instability: The Role of Unemployment and Job Displacement
Fertility and economic instability: The role of unemployment and job displacement