Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave

Liane Jacobi; Helga Wagner; Sylvia Frühwirth-Schnatter

doi:10.1016/j.jeconom.2016.01.005

Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave

Liane Jacobi
, Helga Wagner
, Sylvia Frühwirth-Schnatter

Department of Data Analysis and Econometrics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	234-250
Number of pages	17
Journal	Journal of Econometrics
Volume	193
Issue number	1
DOIs	https://doi.org/10.1016/j.jeconom.2016.01.005
Publication status	Published - 01 Jul 2016

UN SDGs

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

SDG 5 Gender Equality

Fields of science

101018 Statistics
502025 Econometrics
509 Other Social Sciences

JKU Focus areas

Computation in Informatics and Mathematics
Social Systems, Markets and Welfare States

Access to Document

10.1016/j.jeconom.2016.01.005

Cite this

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title = "Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave",

author = "Liane Jacobi and Helga Wagner and Sylvia Fr{\"u}hwirth-Schnatter",

year = "2016",

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doi = "10.1016/j.jeconom.2016.01.005",

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volume = "193",

pages = "234--250",

journal = "Journal of Econometrics",

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T1 - Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave

AU - Jacobi, Liane

AU - Wagner, Helga

AU - Frühwirth-Schnatter, Sylvia

PY - 2016/7/1

Y1 - 2016/7/1

UR - http://www.ifas.jku.at

UR - https://www.scopus.com/pages/publications/84963685515

U2 - 10.1016/j.jeconom.2016.01.005

DO - 10.1016/j.jeconom.2016.01.005

M3 - Article

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VL - 193

SP - 234

EP - 250

JO - Journal of Econometrics

JF - Journal of Econometrics

IS - 1

ER -

Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave

UN SDGs

Fields of science

JKU Focus areas

Access to Document

Other files and links

Model selection

Bayesian statistics and MCMC methods

Cite this

Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave

UN SDGs

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

Model selection

Bayesian statistics and MCMC methods

Cite this