Otto-von-Guericke-Universität Magdeburg



 FWW - Forschungskolloquium
Colloquium Series

Wednesday Faculty Colloquium

Burgard, Chwolka, Eichfelder, Ehmke, Enke, Gischer, Gropp, Kiesmüller, R. Kirstein, Knabe, Koetter, Kvasnicka, Lukas, St. Müller, Noth, Paqué, Raith, Reichling, Sadrieh, Sarstedt, Schöndube-Pirchegger, Spengler, Vogt, Weimann,
Colonnello, Held, Lichters, Qizhou Xiong,
Bortfeldt, A. Kirstein, Kleber

Prof. Dr. Sebastian Eichfelder/Prof. Dr. Michael Kvasnicka

Renate Bauske
+49 391 67-58762

Time and Room
Time: Wednesdays, 3 pm s.t. - 5 pm
(exceptions will be noted below)
Location: Campus, building 22, room A-225 (Fakultätszentrum)

Date Speaker/Author Title
We. 11/10/17
3:00 pm

Professor Paul Pezanis-Christou, School of Economics, The University of Adelaide
Inviting person:
Professor Karim Sadrieh
A naive approach to bidding
We propose a novel approach to the modelling of bidding behavior in pay-your-bid auctions that builds on the presumption that bidders are mostly concerned with losing an auction if they happen to have the highest signal. Our models assume risk neutrality, no profit maximization and the assumption that bidders do not bid above their respective values. The models may entail overbidding or Symmetric Bayes-Nash Equilibrium bidding and we discuss conditions for the revenue equivalence of standard pay-your-bid auctions to hold. We fit the models to the data of first-price auction experiments and find that they do at least as well as the Bayes-Nash equilibrium benchmark model in organizing the observed behavior. Assuming probability misperception or impulse weighting (when relevant) improves their goodness-of-fit and leads to very similar revenue predictions. An analysis of individuals´ heterogeneous behavioral traits suggests that impulse weighting is a more consistent rationale for the observed behavior than a power form of probability misperception.
We. 18/10/17
3:00 pm

Prof. Dr. Kay Blaufus, Universität Hannover,
office hour: 2:00 - 3:00 pm, G22 A349
Inviting person:
Professor Sebastian Eichfelder
Learning to Save Tax-Efficiently: Tax Misperceptions and the Effect of Information Presentation on Retirement Savings
Using a series of laboratory experiments, this paper studies the effect of tax misperceptions on retirement savings and whether information interventions and changing the form of the tax subsidy promote tax-efficient savings behavior. We find that deferred pension taxation results in after-tax pensions that are about 25% lower compared to an economically equivalent immediate pension tax system. This indicates substantial tax misperceptions. We demonstrate that neither recurrent information on the tax refund alone nor recurrent information about the pension tax alone mitigate this distortion. Only, if we present subjects with recurrent numerical information on tax refunds together with numerical information on future pension taxes, tax distortions disappear. Moreover, we find that replacing the tax deductibility of retirement savings with matching contributions increases tax-efficiency without the necessity to provide additional information.
We. 08/11/17
3:00 pm

Prof. Dr. Christian Blecher, Christian-Albrechts-Universität zu Kiel,
office hour: 5 - 6 pm, Fakultätszentrum
Inviting person:
Professorin Anne Chwolka
Die Bilanzierung von Pensionsverpflichtungen: Fester vs. variabler Diskontierungszins und die Prognose von Residualgewinnen
Der Vortrag beschäftigt sich mit der Frage, ob aus Sicht der Informationsfunktion der Rechnungslegung ein variabler oder ein fester Zins besser für die Bilanzierung von Pensionsverpflichtungen geeignet ist. Die Informationsfunktion wird konsequent im Sinne der Messperspektive dahingehend interpretiert, dass Daten der Rechnungslegung für Bewertungszwecke eingesetzt werden. Die Eignung eines festen bzw. variablen Zinssatzes wird also danach beurteilt, ob diese geeignet sind, einen Bewertungsvorgang zu verbessern. Im Ergebnis kann festgestellt werden, dass für Bewertungszwecke ein fester Zinssatz geeigneter ist als ein variabler. Dies liegt daran, dass ein fester Zinssatz eine weniger volatile Erfolgsgröße generiert, die sich deshalb besser für Prognosezwecke eignet. Die Verwendung eines festen Zinssatzes zieht allerdings einen Bewertungsfehler nach sich, dessen Höhe vom Bewerter approximiert werden kann.
We. 29/11/17
3:00 pm

Prof. Dr. Karl Inderfurth, i. R.
Inviting person:
Professorin Grudrun Kiesmüller
You can’t always get what you want: a motivation for research
There are many aspects that make production planning and inventory control a challenging field for practice and science. A specific one is the fact that in many industries the production output can randomly deviate from what is intended when input decisions are made. This is an effect of unexpected scrap losses and uncertain production yields. Based on three recent publications, it will be shown how yield randomness can affect very different problem areas in operations management and inspire respective research. Particularly, it will be demonstrated that it is highly critical for effective decision making to identify the correct yield type and model it appropriately.
We. 13/12/17
3:00 pm

We. 20/12/17
3:00 pm

Dr. habil. Konstantin A. Kholodilin, DIW Berlin
Inviting person:
Professor Michael Kvasnicka
A century of tenant protection: Multy-country quantitative analysis
We. 17/01/18
3:00 pm

Dr. Marlin Ulmer, TU Braunschweig,
office hour: 2:00 to 3:00 pm, G22-A359
Inviting person:
Professor Jan Fabian Ehmke
Approximate Dynamic Programming for Dynamic Vehicle Routing
Decision making in real-world routing applications is generally conducted under incomplete information. The information is only revealed successively during the execution of the routing. Technological advances allow dispatchers to adapt their plans dynamically to new information. Nevertheless, current decisions influence later outcomes. Dispatchers have to anticipate future events in current decision making. The aim of this talk is to give guidance on how to model dynamic vehicle routing problems and how to achieve anticipation. For modeling dynamic vehicle routing problems, we propose the use of a Markov decision process (MDP). For the integration of stochasticity in dynamic decision making, we present novel methods of approximate dynamic programming (ADP). These methods are extensions and combinations of general ADP-methods and are tailored to match the characteristics of DVRPs. A comparison with conventional state-of-the-art benchmark heuristics for a DVRP with stochastic customer requests proves the ADP-methods to be highly advantageous.
We. 24/01/18
3:00 pm

Prof. Dr. Miriam Buiten, Universität Mannheim,
office hour: 1:30 - 2:30 pm, G22 D004
Inviting person:
Professor Roland Kirstein

Idee und Umsetzung: Prof. Dr. Abdolkarim Sadrieh und Dipl.-Kfm. Harald Wypior | © 2017
Letzte Änderung: 11.11.2016 - Ansprechpartner: Webmaster