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

Publication: Scientific journal › Journal article › peer-review

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

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@article{9dae810aafd242e1a4430e5c53852f9d,

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",

doi = "10.1002/jae.1249",

language = "English",

volume = "27",

pages = "1116 -- 1137",

journal = "Journal of Applied Econometrics",

issn = "0883-7252",

publisher = "John Wiley and Sons Ltd",

number = "7",

}

TY - JOUR

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 - 2012

Y1 - 2012

U2 - 10.1002/jae.1249

DO - 10.1002/jae.1249

M3 - Journal article

SN - 0883-7252

VL - 27

SP - 1116

EP - 1137

JO - Journal of Applied Econometrics

JF - Journal of Applied Econometrics

IS - 7

ER -