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

doi:10.1002/jae.1249

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: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1116–1137
Number of pages	22
Journal	Journal of Applied Econometrics
Volume	27
Issue number	7
DOIs	https://doi.org/10.1002/jae.1249
Publication status	Published - Nov 2012

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
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
502051 Economic statistics

JKU Focus areas

Social Systems, Markets and Welfare States

Access to Document

10.1002/jae.1249

Cite this

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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 = "2012",

month = nov,

doi = "10.1002/jae.1249",

language = "English",

volume = "27",

pages = "1116–1137",

journal = "Journal of Applied Econometrics",

issn = "1099-1255",

number = "7",

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TY - JOUR

T1 - Labor market entry and earnings dynamics

T2 - Bayesian inference using mixtures-of-experts Markov chain clustering

AU - Frühwirth-Schnatter, Sylvia

AU - Pamminger, Christoph

AU - Weber, Andrea

AU - Winter-Ebmer, Rudolf

PY - 2012/11

Y1 - 2012/11

UR - https://www.scopus.com/pages/publications/84870358901

U2 - 10.1002/jae.1249

DO - 10.1002/jae.1249

M3 - Article

SN - 1099-1255

VL - 27

SP - 1116

EP - 1137

JO - Journal of Applied Econometrics

JF - Journal of Applied Econometrics

IS - 7

ER -

Labor market entry and earnings dynamics: Bayesian inference using mixtures-of-experts Markov chain clustering

UN SDGs

Fields of science

JKU Focus areas

Access to Document

Other files and links

Bayesian Econometrics (Subprojekt des NFN S-103)

Cite this

Labor market entry and earnings dynamics: Bayesian inference using mixtures-of-experts Markov chain clustering

UN SDGs

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

Bayesian Econometrics (Subprojekt des NFN S-103)

Cite this