Semi-Parametric Regression Under Model Uncertainty: Economic Applications

Gertraud Malsiner Walli; Paul Hofmarcher; Bettina Grün

doi:10.1111/obes.12294

Semi-Parametric Regression Under Model Uncertainty: Economic Applications

Gertraud Malsiner Walli, Paul Hofmarcher, Bettina Grün

Department of Data Analysis and Econometrics

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

Original language	English
Pages (from-to)	1117-1143
Number of pages	27
Journal	Oxford Bulletin of Economics and Statistics
Volume	81
Issue number	5
DOIs	https://doi.org/10.1111/obes.12294
Publication status	Published - 2019

Fields of science

101018 Statistics
509 Other Social Sciences

JKU Focus areas

Sustainable Development: Responsible Technologies and Management

UN SDGs

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

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10.1111/obes.12294

Cite this

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title = "Semi-Parametric Regression Under Model Uncertainty: Economic Applications",

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journal = "Oxford Bulletin of Economics and Statistics",

issn = "1468-0084",

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TY - JOUR

T1 - Semi-Parametric Regression Under Model Uncertainty: Economic Applications

AU - Malsiner Walli, Gertraud

AU - Hofmarcher, Paul

AU - Grün, Bettina

PY - 2019

Y1 - 2019

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

U2 - 10.1111/obes.12294

DO - 10.1111/obes.12294

M3 - Article

SN - 1468-0084

VL - 81

SP - 1117

EP - 1143

JO - Oxford Bulletin of Economics and Statistics

JF - Oxford Bulletin of Economics and Statistics

IS - 5

ER -

Semi-Parametric Regression Under Model Uncertainty: Economic Applications

Fields of science

JKU Focus areas

UN SDGs

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Other files and links

Advanced Regression Methods for Macro-Economic Indicators as Explanatory Variables

Cite this

Semi-Parametric Regression Under Model Uncertainty: Economic Applications

Fields of science

JKU Focus areas

UN SDGs

Access to Document

Other files and links

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Advanced Regression Methods for Macro-Economic Indicators as Explanatory Variables

Cite this