Jan-Egbert Sturm: Katalogdaten im Frühjahrssemester 2016
|Name||Herr Prof. Dr. Jan-Egbert Sturm|
Professur f. Wirtschaftsforschung
ETH Zürich, LEE G 305
|Departement||Management, Technologie und Ökonomie|
Entry level course in management for BSc, MSc and PHD students at all levels not belonging to D-MTEC.
This course can be complemented with Discovering Management (Excercises) 351-0778-01L.
|3 KP||3G||F. Hacklin, M. Ambühl, S. Brusoni, E. Fleisch, P. Frauenfelder, G. Grote, V. Hoffmann, P. Schönsleben, D. Sornette, J.‑E. Sturm, G. von Krogh, F. von Wangenheim|
|Kurzbeschreibung||Discovering Management offers an introduction to the field of business management and entrepreneurship for engineers and natural scientists. The module provides an overview of the principles of management, teaches knowledge about management that is highly complementary to the students' technical knowledge, and provides a basis for advancing the knowledge of the various subjects offered at D-MTEC.|
|Lernziel||Discovering Management offers an integrated learning system, which combines in an innovate format a set of lectures, an advanced business game simulation and a set of group exercises involving industry speakers (ranging from leading venture capitalists to executives at established corporations). Unlike more traditional courses, the learning model for Discovering Management involves 'learning by doing'. While the 13 different lectures, in-class discussions and assigned readings provide the theoretical and conceptual foundations, the experiential learning outcomes result from the interrelated group activities: 1) the interactive case studies and exercises, 2) the business game simulation.|
By discovering the key aspects of entrepreneurial management, the purpose of the course is to advance students' understanding of factors driving company success, where success is understood as a broad construct including financial return, employee, customer and supplier satisfaction as well as social and ecological responsibility.
Discovering Management is designed to suit the needs and expectations of Bachelor students at all levels as well as Master and PhD students not belonging to D-MTEC. By providing an overview of Entrepreneurial Management, this course is an ideal enrichment of the standard curriculum at ETH Zurich. No prior knowledge of business or economics is required to successfully complete this course.
|Inhalt||The lectures for Discovering Management are designed to broaden the participant's understanding of the principles of entrepreneurial management, emphasizing the interdependence of various specialties in the development and management of a firm. For this reason, the lectures are structured on the basis of a coherent business model and will be presented by the respective area specialists at D-MTEC.|
The lectures broaden the view and the understanding of technology by interlinking it with society. Corporate sustainability, for example, introduces economic, ecological and social issues that are relevant to all engineering disciplines. Practical examples stimulate the students to assess these issues and be aware of their responsibilities as engineers. Technology and innovation management, to mention a second example, focuses on the interplay of technical and organizational change, and how these often neglected interactions explain why many new technologies are never used. It fosters the students' ability to see the business and social consequences of their 'technical' decisions.
Critical skills will be trained by the case study exercise, a participant-centered learning activity, which provides students with the opportunity to place themselves in the role of the decision maker, as they learn more about the specific case and identify the challenge they are faced with. Students will be presented real case scenarios by industry guests from established corporations and will have to critically analyze specific issues. The case study exercise will provide an insight into the context of a managerial problem-solving and enhance the participant's appreciation for the complex tasks companies deal with.
Discovering Management attempts to overcome the limitations of traditional teaching curricula of management in technical universities, which often merely focus on transferring specific skills to students, e.g. planning or forecasting. In response to the new challenges for entrepreneurial decision-making, students will be offered the opportunity to actively engage in an advanced business game simulation; a business game that establishes a link between business management theory and business management in practice. The simulation presents a realistic model of a company and provides participants with the opportunity to quickly gain the lasting effects of practical experience in a risk-free environment. All this provides a valuable learning platform to integrate the increasingly important development of the skills and competences required to identify entrepreneurial opportunities, analyze the future business environment and successfully respond to it by taking systematic decisions, e.g. critical assessment of technological possibilities.
|Voraussetzungen / Besonderes||Discovering Management is designed to suit the needs and expectations of Bachelor students at all levels as well as Master and PhD students not belonging to D-MTEC. By providing an overview of Business Management, this course is an ideal enrichment of the standard curriculum at ETH Zurich.|
No prior knowledge of business or economics is required to successfully complete this course.
|363-0570-00L||Principles of Econometrics|
Voraussetzung: Vorkenntnisse in Ökonomie erforderlich.
|3 KP||2G||J.‑E. Sturm, S. Pichler|
|Kurzbeschreibung||This econometrics course focuses on regression analysis. It covers fundamental methods of cross-sectional, time series, and panel data analysis.|
|Lernziel||This course provides an introduction to fundamental econometric methods. An equal emphasis is placed both on theoretical understanding and on applying methods to real-world problems.|
|Inhalt||This course is intended for students who are interested in econometrics and have already taken introductory course in economics (e.g. the course "Principles of Macroeconomics". Econometrics stands for the application of some specific statistical methods to the field of economics. In econometrics, the starting point is a theoretical model explaining some aspect of the economy. This model is compared with the available statistical facts about the economy. Econometrics uses statistical tests to tackle various questions, including: How well or badly does the model fit the observed facts? Does any other available model fit them any better? In any model, how large is the estimate of the effects of one variable on any other, and how reliable is the estimate? How far into the future, and with what degree of reliability, can the model predict any variable of interest?|
|Literatur||Wooldridge, Jeffrey M. (2016), Introductory Econometrics : A Modern Approach, 6th Edition. ISBN 130527010X | 9781305270107|
|363-0584-00L||International Monetary Economics||3 KP||2V||J.‑E. Sturm, J. Kingeski Galimberti|
|Kurzbeschreibung||What determines the foreign exchange rate in the short- and long-term? What are the effects of monetary and fiscal policy in an open economy? What drives a country's choice of the foreign exchange rate regime and why are some countries more prone to financial crises than others? A number of simple theoretical frameworks will be developed that allow us to discuss recent economic policy issues.|
|Lernziel||The core objective of the course is to develop simple macroeconomic models of open economies that can be usefully applied to international economic phenomena ranging from global financial imbalances, the Chinese exchange rate regime, the European Monetary Union, reform proposals for the international financial architecture, to global financial crises.|
|Skript||Lecture notes will be made available via the KOF website.|
|Literatur||Krugman, Paul, Maurice Obstfeld and Marc Melitz (2011), International Economics: Theory and Policy, International Edition, 9th Edition, Addison-Wesley.|
|364-0554-00L||PhD Course in Dynamic Panel Data Econometrics||3 KP||1G||J. Kiviet, J.‑E. Sturm|
|Kurzbeschreibung||A five half-days applied and theoretical econometrics course, designed to enable students at the PhD-level to conduct empirical research in the field of microeconomics.|
|Lernziel||This course focuses on techniques to analyse panel data sets containing only few time-series observations. The methods are illustrated and applied, both experimentally (in simulations) and empirically, in demonstrations which use the software packages EViews, Matlab and STATA.|
The course emphasizes the interpretation, validation and actual finite sample (in)accuracy of dynamic econometric panel data methods when applied to contemporary topics in empirical economic research. Participants will be equipped with the econometric tools required to analyse dynamic relationships on the basis of panel data.
|Inhalt||The course consists of theory sessions, taught in a standard lecture format, including extensive illustrative computer demonstrations. Students will be provided with code and data which allows them during the afternoons (or at a later stage) to practice, provided they have arranged access (via their laptop) to the required software (preferably at least Stata).|
1. Unobserved heterogeneity; static panel data models
2. Dynamic panel data models; method of moments estimation
3. Generalized method of moments; Arellano-Bond and Blundell-Bond estimation
4. Over-identification restrictions, instrument validity, instrument weakness
5. Tests for serial correlation and for the endogeneity/exogeneity status of regressors
6. Applications and practical performance
|Skript||Lecture notes and code will be made available during the first lecture.|
|Literatur||(1) Hsiao, C. Analysis of Panel Data, 2003, Cambridge: Cambridge University Press, 2nd edition.|
(2) Baltagi, B. The Econometric Analysis of Panel Data, 2008, New York: John Wiley, 4th edition.
(3) Wooldridge, J.M. Econometric Analysis of Cross Section and Panel Data, 2010, Cambridge: MIT Press. 2nd edition.
(4) Cameron, A.C. und Trivedi, P.K. Microeconometrics: Methods and Applications, 2005, Cambridge University Press, Chapters 21 and 22.
(5) Verbeek, M. A Guide to Modern Econometrics, (2012), Chichester: John Wiley. 4th edition. Chapter 10.
(6) Arellano, M. Panel Data Econometrics, 2003, Oxford: Oxford University Press.
(7) Kiviet, J.F., Pleus, M., Poldermans, R.W. Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models, mimeo 2015 (to be distributed at the course).
|Voraussetzungen / Besonderes||The course is offered by a visiting lecturer.|
It will be a five half-day block course (9.00-13.00) from 1-7 June 2016.
|364-1015-00L||KOF-ETH-UZH International Economic Policy Seminar||1 KP||1S||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|
Findet dieses Semester nicht statt.
|3 KP||2V||J.‑E. Sturm|
|Kurzbeschreibung||Most policy relevant research questions in economics 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 econometric methods based on observational, i.e., non-experimental, data, cover a number of program evaluation methods, derive the underlying theory and discuss recent applications.|
|Lernziel||The main objective of this course is to make PhD students familar with program evaluation methods such as Instrumental Variables Estimators, Regression Discontinuity Design and Matching Methods. The course will cover the underlying theory and 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 goal of this course is to place students in the position to have a broad toolkit of quasi-experimental methods and to apply these methods in their empirical economic research.|
|Literatur||Lecture notes will be provided and course will also draw on recent research papers. No specific text book is required.|
Prerequisite: An introductory course in Economics is required to sign up for this course.
|3 KP||2V||J.‑E. Sturm, S. Pichler|
|Kurzbeschreibung||This course takes incentives of politicians into account to form a better understanding of the formation of policy and the role of different political institutions in shaping economic policy.|
|Lernziel||In principles courses of economics, the functioning of markets and ways in which the government can shape and influence are discussed. The implicit assumption thereby is that the government will act in the interest of society at large. This course takes incentives of politicians into account to thereby form a better understanding of the formation of policy and the role of different political institutions in shaping economic policy. The course will consist of three blocks. In the first, the basic issues and the tools of modelling political equilibria will be discussed. These will subsequently be used to look into redistributive policies. The focus thereby is on how the interplay between democratic institutions and self-seeking individuals, lobby groups, and parties determines the degree of redistribution in a society. By taking also intertemporal issues into account, the third part allows us to analyse public debt levels, pensions, capital taxation and economic growth.|
|Voraussetzungen / Besonderes||An introductory course in Economics is required to sign up for this course.|