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Professor für Managerial Economics

https://campus.frankfurt-school.de/clicnetclm/fileDownload.do?goid=000001791177AB4

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Eberhard Feess ist Professor für Managerial Economics. Seine aktuellen Forschungsinteressen sind die ökonomische Analyse des Rechts, die Wettbewerbstheorie und –politik, Gesundheitsökonomie und Sportökonomie. Er wurde 1959 in Frankfurt geboren und machte seine Diplome in Soziologie und Volkswirtschaftslehre 1986 bzw.1987 an der Johann Wolfgang Goethe Universität in Frankfurt am Main. Dort promovierte er 1989 in Soziologie und habilitierte 1993 in Volkswirtschaftslehre. Daneben war er seit 1987 Gründungsmitglied des Instituts für Umweltmanagement an der European Business School, Oestrich-Winkel.

Bevor er 2008 an die Frankfurt School kam, hatte Feess C4-Lehrstühle an der European Business School (für Wettbewerbstheorie, 1994-1996), an der Johann Wolfgang Goethe Universität in Frankfurt am Main (für Law&Economics, 1996-2001) und an der RWTH Aachen (für Mikroökonomie, 2001-2008).

Feess ist zusätzlich assoziierter Professor an der Massey University in Auckland, Neuseeland und hat zahlreiche Forschungsaufenthalte im Ausland (unter anderem an der New York University Law School) verbracht. Er publiziert unter anderem im European Economic Review, dem Journal of Industrial Economics, dem Scandinavian Journal of Economics, in Economics Letters und Economica.

Seine Forschungen wurden unter anderem von der OECD, der EU, der DFG, der Volkswagen-Stiftung und der Thyssen-Stiftung sowie von Firmen wie der Volkswagen AG, der Lufthansa AG and AMB Generali gefördert.

Mitgliedschaften:

GEABA German Economic Association of Business Administration e. V. 
Verein für Socialpolitik
Europeans Economic Association
American Economic Association 
European Association of Law and Economics 
American Association of Law and Economics
 


Sprechzeiten

während der Vorlesungszeit:

Wednesday 2:00pm until 3:00pm on appointment

Raum:

Kontakt

Eberhard Feess
Professor für Managerial Economics

Social Media

Publikationen

Wissenschaftliche Zeitschriften / Fachzeitschriften

Monographien / Sammelwerke

Kurse 2017

Titel Studiengang Semester
Incentives Bachelor SS 2017
Understanding Markets and the Business Cycle MBA WS 2017
Business Economics MiM WS 2017
Microeconomics and Decision Theory Bachelor WS 2017
Grundzüge der Mikroökonomik B.A. WS 2017

Themen für Bachelor- und Masterarbeiten

1) The impact of incorrect decisions on human behavior. Evidence from professional soccer

Following up on some previous work, the thesis is supposed to analyze how incorrect referee decisions influence the behavior of soccer teams. Our data already allows classifying penalties in correct, debatable and incorrect. We are interested in two questions:

(i)   Does the accuracy of the decisions influence the probability that penalties are missed?

(ii)  How do these decisions, controlled for all reasonable observables, influence winning probabilities thereafter?

From a more general organizational behavior perspective, the thesis is on how individuals and organizations respond to unfair treatment and bad luck – do they rather reduce effort because they are frustrated or do they draw additional motivation from the willingness to make up for the perceived unfairness?

2) Intelligence and exposure to behavior identified by prospect theory

About 30 years ago, being exposed to e.g. framing, the Allais-Paradox or non-linear probability weighting would have been seen as being “irrational” or “biased”, while it is now seen as a “preference”. But is it related to intelligence? Based on a thorough review of the literature, the thesis is supposed to design (closely supported by the supervisor) a first draft for an experiment that relates intelligence to one of the behavior issues identified by prospect theory.

3) Marriage and career

It is known that marriage (and of course, children) has a strong impact on career. But which females are likely to marry at which age and what are the consequences? The thesis is supposed to structure the state of the art and, based on data availability, to develop ideas for further research