Suchergebnis: Katalogdaten im Frühjahrssemester 2023
Doktorat Management, Technologie und Ökonomie  Mehr Informationen unter: https://www.ethz.ch/de/doktorat.html | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Management | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 364-0406-00L | Publishing in Management, Technology and Innovation  Limited number of participants. Only 8 places are available for doctoral students from ETH (D-MTEC). Registration: Students need to register via the email of the teaching assistant namely: Andrea Lenzner (alenzner@ethz.ch) The registration will be organized on the first come first served basis. | W | 2 KP | 1S | G. von Krogh | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The seminar aims to improve the competence of doctoral students and post docs in the area of management, technology and innovation to publish their work in leading academic journals. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The seminar adresses the following questions: How to set up research for academic journals? How to structure an academic paper for publication in selected journals? How to adress editorial boards? How to cope with editorial recommendations? How to set up a publication strategy? Target journals to be analysed are leading journals in the area of strategy, management, technology and innovation. Besides the journal analysis we will discuss selected papers in management and innovation research. This seminar will be conducted as a cooperation between EPFL, ETHZ and University of St. Gallen. Language is English. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course takes place once a year in collaboration with University of St. Gallen, EPFL Lausanne, and ETH Zurich. This year's course will be held at EPFL Lausanne in May 2021. Only 8 places are available for doctoral students from ETH, which are assigned on a first-come, first-served basis. You need to sign up by email to the teaching assistant (Andrea Lenzner alenzner@ethz.ch) to be registered for the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1020-01L | Methods in Management Research: Methodological Fit in Management Research Findet dieses Semester nicht statt. | W | 1 KP | 1S | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course covers available methodologies and research design in management research, measurement and validity issues, and a broad overview of the main quantitative and qualitative methods. Students will reflect on the fit between research question and research design in their own research field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course aims to support students in: • knowing basic quantitative and qualitative research methods • understanding what data each method needs and what outcomes it can provide, as well as its advantages and disadvantages • understanding how to link a research question to an appropriate research design and method • acquiring a basic understanding of how each method works (e.g., which software to use) • having an idea of how to apply these methods to one's own research • having a group of peers to share ideas and feedback with | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course covers basic methodological topics relevant to research in the management field, including available methodologies (inductive, deductive) and research design (e.g., interviews, field survey, lab experiment, secondary data), the definition and measurement of constructs, validity, the choice of data collection and data analysis methods. A broad overview of the main quantitative (ANOVA, regression, path analysis, SEM, multilevel models, growth models) and qualitative methods (thematic analysis, grounded theory) currently used in management research will also be provided, together with a brief analysis of the advantages and disadvantages of each method. Topics related to research design, including pre-registration, power analysis, and data management, as well as level of analysis and temporal issues (in particular related to data collection) can also be discussed, depending on the interest of the class. Finally, the course will cover fit between research question, research design, and methods of data analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | (Refer to Syllabus and Moodle) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students should: (1) Be able to read and understand academic papers, including both empirical papers and method papers, to facilitate and actively participate to the class discussions; (2) Download SPSS and R + R Studio before the course to be able to conduct hands-on exercises in class; (3) complete a short survey that the instructor will share before the course, with he goal of optimising course organisation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 364-1020-06L | Methods in Management Research: Experimental Research | W | 1 KP | 1S | M. Crouzevialle | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course teaches the basics of experimental research methods. The most important steps in conducting an experiment (e.g., research design, operationalization, data analyses) will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will learn how to design their own experiment and will become aware of the most important factors that need to be considered when planning and executing experimental research. Specifically, we will discuss how to formulate research questions and hypotheses, how to operationalize the relevant concepts, how to construe the experimental design, how to control potential confounding variables, how to determine the sample size, and how to carry out the experiment. As part of the course, students will design their own experiment and present it in class. Moreover, students will be given a scientific article that includes experimental research and will be asked to discuss the strong and weak points of the experimental design in class. This exercise will train students' critical thinking about scientific evidence. This course focuses primarily on laboratory and online research; however, many aspects can be applied to field experiments as well. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Suggested method books (good reference books) -Research Methods in Psychology: Investigating human behavior. (2nd edition) P. G. Nestor, & R. K. Schutt (Eds.), SAGE -Research Methods in Psychology (4th edition) G. M. Breakwell, J. A., Smith, & D. B. Wright (Eds.), SAGE About data analyses: -Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond (3e) by Charles M. Judd, Gary H. McClelland, and Carey S. Ryan. Published by Routledge, 2017. -Discovering Statistics Using SPSS (Introducing Statistical Methods S.) (2nd Edition) A. Field., SAGE | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1052-00L | PhD Seminar in Quantitative Marketing Research | W | 3 KP | 1S | F. von Wangenheim, R. Algesheimer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The seminar is open to PhD students in Quantitative Marketing. Students are invited to present "work in progress". Work to be presented should be in a state that allows for submission to an international peer-reviewed journal in the not too distant future. This seminar is a collaboration between ETH and UZH and marketing groups from both sides will participate. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The learning goal of the course is to reflect on and improve participants' research skills through presentation and discussion of research in progress projects. To be prepared for the seminar, students need to read up on central topics in the related literature. These references are listed in the forthcoming syllabus. Students are invited to present "work in progress". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The seminar is open to PhD students in Quantitative Marketing. To be prepared for the seminar, students need to read up on central topics in the related literature. These references are handed out in the beginning of the seminar. Students are invited to present "work in progress". Work to be presented should be in a state that allows for submission to an international peer-reviewed journal in the not too distant future. This seminar is a collaboration between ETH and UZH and marketing groups from both sides will participate. To be prepared for the seminar, students need to read up on central topics in the related literature. These references are listed in the forthcoming syllabus. Students are invited to present "work in progress". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1131-00L | Methods in Management Research: Quantitative Research - Multilevel and Structural Equation Modelling Findet dieses Semester nicht statt. If you have already successfully completed "364-1020-04L Methods in Management Research: Quantitative Research - Multilevel Analysis" and / or "364-1020-05L Methods in Management Research: Quantitative Research - Structural Equation Modelling", then you will not be permitted to attend this course. | W | 2 KP | 1S | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Multilevel modelling and structural equation modelling are two regression-based methods of data analysis that are increasingly used in applied fields of Management and Organizational Behaviour. The course provides basic knowledge about both methods (e.g., design, analysis, reporting) and explains more advanced models (e.g., moderation, mediation, longitudinal). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After this course, students will be able to: - design a multilevel model and a structural equations model, - calculate a multilevel model and a structural equations model, - interpret model results, - report model results, - assess models reported in existing research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course provides skills and knowledge for the design and analysis of multilevel models and structural equation models (SEM). Multilevel analysis is required for data collected in clustered samples for which sampling decisions were taken in several steps (e.g. first choosing firms, then employees in firms). Structural equation modeling (SEM) is a technique to build models and test causal relationships including latent variables, several outcome variables and intervening variables. The course teaches basic skills and advanced models for both methods. This allows students to compare both methods and their use and to choose the appropriate method for their own research. The basic knowledge in multilevel modelling covers: building the statistical multilevel model, calculating a multilevel model in R or SPSS, reporting of results and required sample size. The basic knowledge in SEM include: model identification and model fit, measurement model and structural model, calculating a SEM in R or Mplus and reporting of results. Advanced topics for both methods refer to moderation (i.e., interaction effects), mediation (i.e., intervening variables) and longitudinal analysis with three or more measurement waves. Comparing options provided by the different methods allows us to understand strengths and weaknesses of both methods in relation to research goals. Students work on six assignments during and one after the course. In two assignments, students find sample papers from their field of research applying each method. Two assignments consist of an analysis with each method. Two assignments refers to designing a model for each method within the student’s own field of research. The final assignment requires students to report an analysis for presentation in a scientific paper. Students can use their own data for the assignments requiring data analysis. Basic knowledge in regression analysis is necessary for following the course. The course uses R or SPSS for multilevel modelling and R or Mplus for SEM. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 364-1154-00L | Technological Innovations and Sustainability Transitions | W | 3 KP | 2S | J. Markard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Intro to sustainability transitions: fundamental socio-technical changes in sectors such as energy or transport with the intention to improve sustainability. We discuss past and contemporary transition examples (e.g. net-zero energy transition), key concepts & frameworks and challenges for research and policy making. The course targets PhD students but is open for master students as well. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course provides a better understanding of innovation, transition and sustainability challenges. After completing this course, students will - understand the particularities and complexities of selected empirical examples of sustainability transitions, - be familiar with key concepts and frameworks of research in sustainability transitions and innovation studies, - know the relevant literature on transition studies and adjacent fields (corporate sustainability, policy analysis) and - be able to apply the new knowledge, e.g. to design a research project in the field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Societies are confronted with major sustainability challenges such as climate change, resource depletion, water pollution, or loss of biodiversity. To address these challenges, we need fundamental changes in how we produce and consume things. We need to transform business models, industries, technologies, policies, lifestyles and habits. Sustainability transitions is a new and rapidly growing field of research addressing major socio-technical changes, typically at the sectoral level. Sustainability transitions research seeks to analyze and understand the multi-dimensional nature of innovation and decline, and to provide tools for researchers and decision makers to navigate transitions. Widely known cases include the ongoing energy transition (with renewables replacing fossil and nuclear fuels) or the transition toward electric mobility. Also in other sectors, more sustainable niches are emerging (non-meat alternatives, bioplastic, responsible finance etc.) In the course, we will familiarize ourselves with key concepts and topics including 'classic' innovation theory, innovation systems, incumbent organizations vs newcomers, the multi-level perspective, politics of transitions and sustainability transition policies. We will read, present and discuss peer-reviewed literature and we will develop and discuss ideas for potential research projects. Format: The course will consist of 2*90min sessions on Monday afternoons. There is a combination of preparatory reading, presentations by faculty and students, short papers, and discussions. Attendance is required in all sessions. Pls reserve Mondays, 2-5pm. Some Mondays might be free, some meetings will be shorter (also depending on enrolment). Dates: Feb 20, 27, March 13, 20, 27, April 3, 24, May 8, 15, 22. Make sure you don't miss the first session on February 20. This is when we will discuss and allocate student assignments. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 364-1143-00L | Writing and Publishing Research Papers in Applied Economics Findet dieses Semester nicht statt. | W | 2 KP | 1S | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The success of economic research depends on the way researchers present it to readers. This course provides practical insights on how to structure, frame, and present applied economic research papers by discussing and analyzing well-crafted economic research papers in a reading group. It also provides practical tips on the publication process in economics and involves small writing assignments. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | This course aims to help Ph.D. students effectively frame, organize, and present their research papers through in-class discussions on how successful economists write their research papers. It also helps Ph.D. students to better navigate through the peer review and refereeing process in economics. It is not a writing course in academic English (see 363-1063-00L instead). The course focuses on the structure and presentation of applied economics papers, including data visualization. It assumes that students have the necessary English writing skills. The course involves small writing assignments in-between course weeks, which help students to incorporate what they have learned into their own project(s). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The writing and framing of a research paper is an essential and often undervalued skill for quantitative economists. Because economists often want to learn an economic “story,” crafting an oral and written communication strategy for a research paper may be as important as the analysis itself. This colloquium provides Ph.D. students with insights into the often-implicit Dos and Don’ts of writing and publishing research papers in applied economics. What should I put in the abstract? How do I structure the introduction? What is my contribution, and how can I frame it as broadly as possible without overselling it? How do I discuss related research? What are the effective ways of presenting my research design? How do I visualize my main results? When do I send out my paper to a scientific journal, and which journal should I target? How do I respond to referee comments? How do I write a referee report myself? In this course, Ph.D. students will develop answers to these and related practical questions through in-class discussions of well-written applied economic research papers from all fields of applied economics. In addition, the course involves a few small take-home assignments in-between course weeks, which are optimally suited for Ph.D. students working on a draft of one of their projects, either in the early or later phase. The colloquia will provide opportunities to discuss these writing samples and visualizations. Finally, short introductory lectures will summarize key insights from the surprisingly voluminous literature on writing and publishing in economics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 364-1172-00L | Controlled imagination in Management Research | W | 1 KP | 1V | O. Maghazei | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Science has long recognized the importance of “imagination” and many of the greatest advances in science have proceeded from virtually no data, or highly insufficient data. Theorizing process in management scholarship has been also described an act of disciplined imagination. This course discusses the role of “controlled imagination” as a legitimate approach in conducting management research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will learn about a very important, yet often overlooked, aspect of scientific inquires: controlled imagination. In fact, imagination is ever-present in the management research process when searching for the essence of a phenomenon, components, structures, and patterns that cannot be revealed by ordinary observation as well as laws of interaction and logical structures. Although management scholarship is rich in imagination, this aspect of the research process is often minimized in favor of detailing the more “scientific” notion of control (i.e., the degree of precision in what is being studied) in descriptions of the various methods used to investigate a phenomenon. Learning objectives After completing this course, students will be able to: 1. understand about the role and importance of using imagination in scientific discoveries 2. explain the role of imagination in management research 3. assess methodological approaches that foster controlled imagination 4. distinguish between different types of controlled imagination approaches 5. apply structured approaches to “unfreeze” concepts and encourage scientific creativity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course: a) provides a brief summary of the long history of using imagination in science, b) unpacks the role of controlled imagination in management research, and c) introduces methodological approaches that can foster imagination in a controlled way in the whole process of studying a phenomenon under research to enhance management scholarship. Structure The course will be designed into three sessions, three hours each, following the flipped classroom strategy. The sessions will involve a short introduction by the instructor followed by paper discussions by the participants. Three papers will be assigned to each student: one paper on the basic concepts of controlled imagination and two papers on specific controlled imagination methods. Condition Due to its design, this course will take place in spring semester 2023 given that it reaches the minimum attendance of 6 students. Agenda and deliverables In the first session, a background/history of using imagination in the science will be discussed. Then basic concepts of scientific discoveries will be introduced followed by student presentations and discussions. In the second session, the role of controlled imagination in the management research will be discussed. First students present and discuss the assigned papers and then the instructor summarizes the session about the basic concepts and the role of controlled imagination in management research. In the third session, all students present and discuss their assigned “method” of controlled imagination followed by a wrap up summary of the methods and the course by the instructor. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | • Cornelissen, J.P., Durand, R., 2014. Moving forward: Developing theoretical contributions in management studies. Journal of Management Studies 51, 995-1022. • Fehige, Y., Stuart, M.T., 2014. On the origins of the philosophy of thought experiments: The forerun. Perspectives on Science 22, 179-220. • Higgins, M., 2003. Introduction: More amazing tales, Science fiction and organization. Routledge, pp. 11-22. • Johnson, B.D., 2011. Science fiction prototyping: Designing the future with science fiction. Synthesis Lectures on Computer Science 3, 1-190. • Kilduff, M., Mehra, A., Dunn, M.B., 2011. From blue sky research to problem solving: A philosophy of science theory of new knowledge production. Academy of Management Review 36, 297-317 • Phillips, N., 1995. Telling organizational tales: On the role of narrative fiction in the study of organizations. Organization Studies 16, 625-649 • Sanders, P., 1982. Phenomenology: A new way of viewing organizational research. Academy of Management Review 7, 353-360. • Schoemaker, P.J., 1995. Scenario planning: a tool for strategic thinking. Sloan Management Review 36, 25-50. • Weick, K.E., 1989. Theory construction as disciplined imagination. Academy of Management Review 14, 516-531. • Whiteman, G., Phillips, N., 2008. The role of narrative fiction and semi-fiction in organizational studies, In: Barry, D., Hansen, H. (Eds), Handbook of New Approaches in Management and Organization. The SAGE, London, pp. 288-299. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Ökonomie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-0531-00L | CER-ETH Research Seminar | Z | 0 KP | 2S | H. Gersbach, A. Bommier, L. Bretschger | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Forschungsseminar des Center of Economic Research CER-ETH | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Verständnis der aktuell führenden Forschung in der ökonomischen Theorie, insbesondere aus dem Bereich der CER-ETH Forschung. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Referate zu aktuellen Forschungsergebnissen aus den Bereichen der CER-ETH Forschung von in- und ausländischen Gastreferierenden. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Bitte spezielle Ankündigungen beachten. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-0556-00L | Doctoral Workshop: Astute Modelling Prerequisite: Students are expected to attend the course 364-0559-02L "Design of Institutions and Political Economy", before registering for this workshop. | W | 3 KP | 1G | H. Gersbach | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | In this workshop, we present ongoing research at MIP and discuss the criteria and guidelines for smart modelling of social and economic situations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | We will learn how to present our own research and improve our modelling skills. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-0559-02L | Design of Institutions and Political Economy Findet dieses Semester nicht statt. | W | 3 KP | 2V | Noch nicht bekannt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Institutions and in particular political institutions are a central determinant of economic performance. In this course, we learn the characteristics of collective decision making and political processes as well as the theoretical tools in institutional design. At the end of the course we will discuss recent research in political economics, design of institutions and policy. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | In this doctoral course, we learn the theoretical tools and major results in collective decision theory and political economics. We will use this knowledge to discuss recent research in political economics. The course enables the participants to do their own research in political economics or apply the frameworks to interesting institutional design problems in their own research area. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Part I: Theoretical Tools and Important Results (lectures) 1. Collective Decision Making and Impossibility Results 2. Voting Models 3. Lobbying 4. Creating Institutions: A Mechanism Design Perspective 5. Dynamic Political Economy Part II: Recent Research in Political Economics (presentations) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | In the first part, the theory is presented in lectures. In the second part, each participant will present a paper of her/his interest from the syllabus (provided in the first class meeting) and has to write a referee report (of max. 3 pages) on it. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-0576-00L | Advanced Sustainability Economics PhD course, open for MSc students | W | 3 KP | 3G | E. Komarov, C. Renoir | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course covers current resource and sustainability economics, including ethical foundations of sustainability, intertemporal optimisation in capital-resource economies, sustainable use of non-renewable and renewable resources, pollution dynamics, population growth, and sectoral heterogeneity. A final part is on empirical contributions, e.g. the resource curse, energy prices, and the EKC. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding of the current issues and economic methods in sustainability research; ability to solve typical problems like the calculation of the growth rate under environmental restriction with the help of appropriate model equations. Please note that the course takes places in Zurichbergstrasse 18, which requires an ETH card to enter. We kindly ask Non-ETH students to inform Clément Renoir if they would like to attend. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-0581-00L | Microeconomics Seminar (ETH/UZH) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: 03SMDOEC6089 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | E- | 0 KP | 2S | H. Gersbach | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Research Seminar research papers of leading researchers in Microeconomics are presented and discussed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Research Seminar research papers of leading researchers in Microeconomics are presented and discussed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Invited Speakers present current research in Microeconomics | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1015-00L | KOF-ETH-UZH International Economic Policy Seminar (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: 03SMDOEC1028 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | W | 2 KP | 2S | P. Egger, J.‑E. Sturm | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | In this seminar series, which is held jointly with Prof. Dr. Woitek and Prof. Dr. Hoffman from the University of Zurich, distinguished international researchers present their current research related to international economic policy. The participating doctoral students are expected to attend the presentations (bi-weekly). Moreover, a critical review has to be prepared for 1 of the papers presented | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | On the one hand, participating students are exposed to research at the frontier of international economic policy research. On the other hand, skills such as critical thinking and preparing reviews are learned. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1026-00L | Identification and Causal Inference | W | 3 KP | 2V | M. Siegenthaler, D. Kopp, I. Martinez | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Most policy relevant research questions in the social sciences face the same challenge: How can we identify a causal impact of one variable on another when we cannot use a controlled experiment? This course will teach program evaluation methods for causal analysis based on non-experimental (i.e. observational) data, derive the underlying theory and discuss recent applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The main objective of this course is to make PhD students familiar with program evaluation methods such as Difference-in-Differences/Event Study estimations, Instrumental Variables Estimators, Regression Discontinuity designs and Matching Methods. The course will cover the underlying theory, illustrate the connection to classical regression analysis, show how these different methods relate to each other and how they differ in terms of the required identifying assumptions as well as data needs. Recent research papers will be discussed to illustrate their use. The course has an applied focus. The goal is to place students in the position to have a broad toolkit of quasi-experimental methods and to apply these methods in their empirical research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | We will provide printed slides at the beginning of each lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Lecture notes will be provided and course will also draw on recent research papers. No specific textbook is required. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1045-00L | Advances in Public Economics | W | 3 KP | 2S | M. Köthenbürger | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | In the doctoral course, we will discuss recent advances in public economics. After a review of basic concepts in public economics, we go through recent papers on taxation, social security and fiscal federalism. Students will be asked to present a paper and to critically comment on it (as if they would referee the paper). The paper presentation will take place at the end of the semester. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After the course participants will have a solid understanding of the current state of research in the selected fields in public economics and, starting from there, will be able to develop their own research ideas. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1058-00L | Risk Center Seminar Series | Z | 0 KP | 2S | H. 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, U. A. Weidmann, S. Wiemer, R. Zenklusen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | In this series of seminars, invited speakers discuss various topics in the area of risk modelling, governance of complex socio-economic systems, managing risks and crises, and building resilience. Students, PhD students, post-docs, faculty and individuals outside ETH are welcome. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Participants gain insights in a broad range of risk- and resilience-related topics. They expand their knowledge of the field and deepen their understanding of the complexity of our social, economic and engineered systems. For young researchers in particular, the seminars offer an opportunity to learn academic presentation skills and to network with an interdisciplinary scientific audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Academic presentations from ETH faculty as well as external researchers. Each seminar is followed by a Q&A session and (when permitted) a networking Apéro. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | The sessions are recorded whenever possible and posted on the ETH Risk Center webpage. If available, presentation slides are shared as well. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Each speaker will provide a literature review. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | In most cases, a quantitative background is required. Depending on the topic, field-specific knowledge may be required. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 364-1090-00L | Research Seminar in Contract Theory, Banking and Money (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: 03SMDOEC0786 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | W | 3 KP | 2S | H. Gersbach, Uni-Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Recent developments in the fields of contract theory, finance, banking, money and macroeconomics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding recent developments in the fields of contract theory, finance, banking and macroeconomics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1133-00L | Empirical Methods for Macroeconomic Research Findet dieses Semester nicht statt. | W | 3 KP | 2G | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course helps PhD students to write a research paper by applying methods used in Bayesian times series econometrics to their field of research. Students will employ and extend the toolkit acquired in ``363-1161-00L Time Series Econometrics and Macroeconomic Forecasting''. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will deepen their knowledge and methodological skills in Bayesian time series econometrics. They will also practice finding, presenting and writing up a research idea. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course 363-1161-00L Time Series Econometrics and Macroeconomic Forecasting | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 364-1169-00L | Evaluating Social Impact with Field Experiments | W | 3 KP | 2G | A. Beerli | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | How can we evaluate whether a new policy, program, or service changes individuals’ behavior and makes a difference in their lives? How can we measure its social, economic, etc. impact? This course introduces the fundamentals of field experimental methods for social scientists. We will cover all important ingredients to design, conduct, and learn from randomized controlled field experiments. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The main objective of the course is to empower students to run their own experiments in the field. After the course students will 1. be able to identify opportunities to run experiments, assess their feasibility, and learn which questions need to be sorted out with field partners right at the beginning 2. understand different experimental designs and their strengths and weaknesses 3. understand the ethical challenges inherent to field experiments and whether and how they can be addressed 4. know how to combine register data and surveys to measure outcomes 5. know how to prevent or handle key implementation issues, such as non-compliance, spillovers between treatment and control group, attrition or non-response | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course is designed for PhD students in social sciences (such as economics, political science, psychology, etc.) or other fields working with human subjects who would like to run their own experiments in the field. A background in basic econometrics and probability theory is required, knowledge in causal inference is helpful. In contrast to working with observational data and quasi-experimental methods, running field experiments allows researchers to have larger control over the data generating process. This requires, however, to think about ways to address the most important challenges before the experiment is conducted. Knowing these key aspects of designing field experiments, measuring outcomes and collecting data, and potential implementation issues that could arise, will allow students to assess quickly whether an experiment is feasible or not and how challenges to the validity of the experiment can be addressed in collaboration with field partners. In the course we will cover all important aspects to successfully design and conduct randomized controlled experiments (or randomized controlled trials, RCTs) in the field. The first part of the course focuses on the set up of field experiments: different designs and sample size, ethics considerations, transparency and open science best practices, survey design and organizing data collection. The second part covers implementation issues: one-sided and two-sided non-compliance, attrition or non-response, and spillovers between treatment and control group. The course grade is based on a written research proposal of an original idea for a field experiment. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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