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 Tue, 29. Sep. 2020   Klenke, Jens

Preparatory course in R

This term we are going to offer a preparatory course in R which gives an introduction to the statistical programming language R.

All students with no or little knowledge in R who want to take the course method of econometrics are strongly recommended to participate. 

The course is designed for students in master's programs but students in bachelor's programs are also welcome to participate. The course is also part of the preparation program for students of the Energy and Finance master's program.

Due to the current corona situation, this course will be offered as an online lecture/exercise.

It will take place from Wednesday, 28.10.2020 to Friday, 30.10.2020, from 9:00-15:30.

We kindly ask you to register in advance by email to martin.arnold (at) vwl.uni-due.de. If you have any questions, we will be happy to help you.

All further information will follow via the Moodlekurs R Propädeutikum.

 Fri, 30. Jul. 2021   Schwarzbach, Marco

Verabschiedung Jens Klenke

Zum Ende dieser Woche haben wir Jens Klenke von unserem Lehrstuhl verabschiedet. Wir bedauern es sehr einen geschätzten Kollegen zu verlieren, möchten uns aber zeitgleich für seine hervorragende Arbeit und sein eingebrachtes...
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 Wed, 14. Jul. 2021   Schwarzbach, Marco

Paper "A Comparison of Approaches to Select the Informativeness of Priors in BVARs"

The paper "A Comparison of Approaches to Select the Informativeness of Priors in BVARs" by Prof. Dr. Christoph Hanck and Dr. Jan Prüser was accepted for the internationally peer-reviewed Journal of Economics and Statistics. The...
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 Tue, 08. Jun. 2021   Schwarzbach, Marco

Heisenberg-Application to the DFG Approved

The German Research Foundation (DFG) has approved Dr. Yannick Hoga's Heisenberg proposal on "Forecasting and Evaluating Measures of Systemic Risk" for five years. Yannick Hoga's project will focus on methodological developments...
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 Tue, 01. Jun. 2021   Schwarzbach, Marco

Paper "Student's t mixture models for stock indices. A comparative study"

The paper "Student's t mixture models for stock indices. A comparative study" by Dr. Till Massing and Dr. Arturo Ramos was accepted for the internationally peer-reviewed journal Physica A: Statistical Mechanics and its...
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 Sat, 24. Apr. 2021   Schwarzbach, Marco

Paper "Quantifying the data-dredging bias in structural break tests"

Dr. Yannick Hoga's authored paper, "Quantifying the data-dredging bias in structural break tests", was accepted for the internationally peer-reviewed journal Statistical Papers. The publication can be viewed here.
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 Thu, 01. Apr. 2021   Schwarzbach, Marco

Paper "House prices and interest rates: Bayesian evidence from Germany"

The paper "House prices and interest rates: Bayesian evidence from Germany" by Prof. Dr. Christoph Hanck and Dr. Jan Prüser was accepted for the internationally peer-reviewed journal Applied Economics. The publication can be...
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 Fri, 26. Mar. 2021   Schwarzbach, Marco

Paper "When is the Best Time to Learn? - Evidence from an Introductory Statistics Course"

The paper "When is the Best Time to Learn? - Evidence from an Introductory Statistics Course" by Prof. Dr. Christoph Hanck, Dr. Till Massing, Natalie Reckmann, Alexander Blasberg, Benjamin Otto and Prof. Dr. Michael Goedicke was...
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 Thu, 25. Feb. 2021   Schwarzbach, Marco

Paper "Nonparametric estimation of the random coefficients model: An elastic net approach"

The paper "Nonparametric estimation of the random coefficients model: An elastic net approach" by Stephan Hetzenecker, Prof. Dr. Florian Heiss and Maximilian Osterhaus was accepted for the internationally peer-reviewed Journal of...
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 Thu, 25. Feb. 2021   Schwarzbach, Marco

Paper "Modeling Time-Varying Tail Dependence, with Application to Systemic Risk Forecasting"

Dr. Yannick Hoga's authored paper, "Modeling Time-Varying Tail Dependence, with Application to Systemic Risk Forecasting", was accepted for the internationally peer-reviewed Journal of Financial Econometrics. The publication can...
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 Thu, 18. Feb. 2021   Schwarzbach, Marco

Paper "Clustering Using Student t Mixture Copulas"

Dr. Till Massing's authored paper, "Clustering Using Student t Mixture Copulas", was accepted for the internationally peer-reviewed Journal SN Computer Science. The publication can be viewed here.
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 Wed, 03. Feb. 2021   Schwarzbach, Marco

Conferral of a Doctorate of Matthias Kaeding

Despite the unusual time characterized by contact reduction, minimum distances and masks, the disputation of Matthias Kaeding took place last Monday. The Chair of Econometrics congratulates on the successfully completed PhD. Ma...
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 Tue, 05. Jan. 2021   Schwarzbach, Marco

Verabschiedung Nils Paffen, Timo Rammert und Baran Tüysüz

Zum Ende des Jahres 2020 haben wir Nils Paffen, Timo Rammert und Baran Tüysüz von unserem Lehrstuhl verabschiedet. Wir bedauern es drei sehr geschätzte Kollegen zu verlieren, möchten uns jedoch zeitgleich für die hervorragende...
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