Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering

Sylvia Frühwirth-Schnatter; Christoph Pamminger; Andrea Weber; Rudolf Winter-Ebmer

Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering

Sylvia Frühwirth-Schnatter
, Christoph Pamminger
, Andrea Weber
, Rudolf Winter-Ebmer

Research output: Working paper and reports › Working paper

Original language	English
Place of Publication	Linz
Publisher	The Austrian Center for Labor Economics and the Analysis of the Welfare
Number of pages	31
Publication status	Published - Dec 2010

Publication series

Name	Working Paper
No.	1014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Fields of science

101029 Mathematical statistics
101024 Probability theory
102009 Computer simulation
101026 Time series analysis
101 Mathematics
103 Physics, Astronomy
105 Geosciences
305 Other Human Medicine, Health Sciences
504 Sociology
502025 Econometrics
106 Biology
502 Economics
509 Other Social Sciences

JKU Focus areas

Social Systems, Markets and Welfare States
Social and Economic Sciences (in general)

Cite this

@techreport{3e8f53bb3a87472aa7559019f8af2bfb,

title = "Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering",

author = "Sylvia Fr{\"u}hwirth-Schnatter and Christoph Pamminger and Andrea Weber and Rudolf Winter-Ebmer",

year = "2010",

month = dec,

language = "English",

series = "Working Paper",

publisher = "The Austrian Center for Labor Economics and the Analysis of the Welfare",

number = "1014",

type = "WorkingPaper",

institution = "The Austrian Center for Labor Economics and the Analysis of the Welfare",

}

TY - UNPB

T1 - Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering

AU - Frühwirth-Schnatter, Sylvia

AU - Pamminger, Christoph

AU - Weber, Andrea

AU - Winter-Ebmer, Rudolf

PY - 2010/12

Y1 - 2010/12

UR - http://www.labornrn.at/wp/2010/wp1014.pdf

M3 - Working paper

T3 - Working Paper

BT - Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering

PB - The Austrian Center for Labor Economics and the Analysis of the Welfare

CY - Linz

ER -

Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering

Publication series

UN SDGs

Fields of science

JKU Focus areas

Other files and links

The Austrian Center for Labor Economics and the Analysis of the Welfare State (NFN S-103)

Cite this

Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering

Publication series

UN SDGs

Fields of science

JKU Focus areas

Other files and links

Projects

The Austrian Center for Labor Economics and the Analysis of the Welfare State (NFN S-103)

Cite this