Antoine Bommier: Catalogue data in Autumn Semester 2023

Name Prof. Dr. Antoine Bommier
FieldIntegrative Risk Management and Economics
Address
Integratives Risikomanag. und Ök.
ETH Zürich, SEC E 7
Scheuchzerstrasse 7
8092 Zürich
SWITZERLAND
Telephone+41 44 632 38 10
E-mailabommier@ethz.ch
DepartmentManagement, Technology, and Economics
RelationshipFull Professor

NumberTitleECTSHoursLecturers
364-0531-00LCER-ETH Research Seminar0 credits2SH. Gersbach, A. Bommier, L. Bretschger
AbstractResearch Seminar of Center of Economic Research CER-ETH
Learning objectiveUnderstanding cutting-edge results of current research in the fields of the CER-ETH Professors.
ContentReferate zu aktuellen Forschungsergebnissen aus den Bereichen Ressourcen- und Umweltökonomie, theoretische und angewandte Wachstums- und Aussenwirtschaftstheorie sowie Energie- und Innovationsökonomie von in- und ausländischen Gastreferierenden sowie von ETH-internen Referierenden.
Prerequisites / NoticeBitte spezielle Ankündigungen beachten.

Studierende des GESS-Pflichtwahlfachs sollten sich vor Beginn mit der Seminarleitung in Verbindung setzen.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesfostered
Techniques and Technologiesfostered
Method-specific CompetenciesAnalytical Competenciesfostered
364-1025-00LAdvanced Microeconomics3 credits2GA. Bommier
AbstractThe objective of the course is to provide students with advanced knowledge in some areas of micro economic theory. The course will focus on 1) Individual behavior 2) Collective behavior 3) Choice under uncertainty 4) Intertemporal choice.
Learning objectiveThe aim is to give to the students the opportunity to review the key results in rational individual behavior, collective models, choice under uncertainty, intertemporal choice, as well as to get some insights on more recent advances in those areas.
The course is therefore designed for students who have some interest for research in economics.
ContentThe following topics will be addressed;
1) Individual Behavior. Theory of the consumer (preferences, demand, duality, integrability). Theory of the firm.
2) Collective models. Cooperative and non cooperative models of household behavior.
2) Choice under uncertainty. The foundations of expected utility theory. Some insights on other approaches to choice under uncertainty.
3) Intertemporal choice. Dynamic model. Life cycle theory.
LiteratureThe course will be based on some chapters of the books "Advanced Microeconomic Theory" by Jehle and Reny (2011) and "Microeconomic Theory", by Mas-Colell, Whinston and Green (1995), as well as research articles for the most advanced parts.
364-1058-00LRisk Center Seminar Series0 credits2SH. Schernberg, D. Basin, A. Bommier, D. N. Bresch, S. Brusoni, L.‑E. Cederman, P. Cheridito, F. Corman, H. Gersbach, C. Hölscher, K. Paterson, G. Sansavini, B. Stojadinovic, B. Sudret, J. Teichmann, R. Wattenhofer, S. Wiemer, R. Zenklusen
AbstractThis course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. Students and other guests are welcome.
Learning objectiveParticipants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models for open problems, to analyze them with computers, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level.
ContentThis course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the colloquium. Students and other guests are welcome.
Lecture notesThere is no script, but a short protocol of the sessions will be sent to all participants who have participated in a particular session. Transparencies of the presentations may be put on the course webpage.
LiteratureLiterature will be provided by the speakers in their respective presentations.
Prerequisites / NoticeParticipants should have relatively good mathematical skills and some experience of how scientific work is performed.
364-1064-00LDoctoral Retreat - Inaugural Workshop and Seminar on Ethics and Scientific Integrity Restricted registration - show details
Pre-registration upon invitation required.
Once your pre-registration has been confirmed, a registration in myStudies is possible.
Information on the online Ethic Moodle course will be passed on to registered doctoral candidates in due time.
1 credit1SU. Renold, A. Bommier
AbstractThis course is geared towards first and second-year doctoral candidates of MTEC. It is held as in a workshop style. Students attending this seminar will benefit from interdisciplinary discussions and insights into current and future work in business and economics research.
Learning objectiveThe purpose of this course is to
- introduce doctoral candidates to the world of economics, management and systems research at MTEC
- make doctoral candidates aware of silo-thinking in the specific sub-disciplines and encourage them to go beyond those silos
- discuss current issues with regard to substantive, methodological and theoretical domains of research in the respective fields
- sensitise doctoral candidates to ethical issues that may occur during their doctorate.
- familiarise doctoral candidates with resources that can assist them with ethical decision-making
ContentThis course is geared towards first and second-year doctoral candidates of MTEC. It is held as in a workshop style. Doctoral candidates attending this seminar will benefit from interdisciplinary discussions and insights into current and future work in business and economics research.
The Doctoral Retreat is new connected with a course on “Ethics and Scientific Integrity”. The first part is an online self-paced e-learning Moodle course which consists of 5 modules and should be completed before the retreat starts.
The second, face-to-face part of the Ethic course focuses on discipline-specific aspects and takes place on the 2nd day of the retreat. It provides an interactive learning environment. Doctoral candidates get to apply their knowledge, and they are encouraged to reflect on ethical problems and to critically discuss them with fellow doctoral colleagues.