Search result: Catalogue data in Autumn Semester 2017
Doctoral Department of Management, Technology, and Economics More Information at: https://www.ethz.ch/en/doctorate.html | ||||||
Doctoral Studies in Management | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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364-0553-00L | Innovation in Digital Space Does not take place this semester. | W | 1 credit | 1G | G. von Krogh | |
Abstract | The purpose of this course is to review and discuss issues in current theory and research relevant to innovation in the digital space. | |||||
Learning objective | Through in-depth analysis of published work, doctoral candidates will identify and appraise theoretical and empirical studies, formulate research questions, and improve the positioning of their own research within the academic debate. | |||||
Content | The Internet has a twofold impact on the way individuals and firms innovate. First, firms increasingly draw on digital technology to access and capture innovation-relevant knowledge in their environment. Second, individuals, firms, and other organizations extensively utilize the Internet to create, diffuse, and commercialize new digital products and services. During the past decade, theory and research on innovation in the digital space has flourished and generated extensive insights of relevance to both academia and management practice. This has brought us better understanding of working models, and some fundamental reasons for innovation success or failure. A host of new models and research designs have been created to explore the innovation in the digital space, but these have also brought out many open research questions. We will review some of the existing streams of work, and in the process explore a new research agenda. Format: The course is organized in one block of 2 days. The course is a combination of pre-readings, presentations by faculty and students, and discussions. The students prepare presentations of papers in order to facilitate analysis and discussion. | |||||
Literature | Innovation, openness and search: Cassiman, B., & Veugelers, R. (2006). In search of complementarity in innovation strategy: Internal R&D and external knowledge acquisition. Management Science, 52(1), 68-82. Foss, N. J., Laursen, K., & Pedersen, T. (2011). Linking customer interaction and innovation: The mediating role of new organizational practices. Organization Science, 22(4), 980-999. Garriga, H., von Krogh, G., & Spaeth, S. (2013). How constraints and knowledge impact open innovation. Strategic Management Journal, 34(9), 1134-1144. Laursen, K., & Salter, A. (2005). Open for innovation: The role of openness in explaining innovation performance among UK manufacturing firms. Strategic Management Journal, 27(2), 131-150. Open source and innovation models: Henkel, J. (2006). Selective revealing in open innovation processes: The case of embedded Linux. Research Policy, 35(7), 953-969. Lakhani, K. R., & von Hippel, E. (2003). How open source software works: Free user-to-user assistance. Research Policy, 32(6), 923-943. Lerner, J., & Tirole, J. (2002). Some Simple Economics of Open Source. The Journal of Industrial Economics, 50(2), 197-234. Rullani, F., & Haefliger, S. (2013). The periphery on stage: The intra-organizational dynamics in online communities of creation. Research Policy, 42(4), 941-953. Stewart, K. J., & Gosain, S. (2006). The impact of ideology on effectiveness in open source software development teams. MIS Quarterly, 30(2), 291-314. Von Hippel, E., & Von Krogh, G. (2003). Open source software and the 'private-collective' innovation model: Issues for organization science. Organization science, 14(2), 209-223. Von Krogh, G., Spaeth, S., & Lakhani, K. R. (2003). Community, joining, and specialization in open source software innovation: A case study. Research Policy, 32(7), 1217-1241. Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A. (2012). Organizing for Innovation in the Digitized World. Organization Science, 23(5), 1398-1408. Motivation to Innovate: Baldwin, C. Y., & Clark, K. B. (2006). The Architecture of participation: Does code architecture mitigate free riding in the open source development model? Management Science, 52(7), 1116-1127. Hertel, G., Niedner, S., & Herrmann, S. (2003). Motivation of software developers in open source projects: An internet-based survey of contributors to the Linux kernel. Research Policy, 32(7), 1159-1177. Roberts, J. A., Hann, I.-H., & Slaughter, S. A. (2006). Understanding the motivations, participation, and performance of open source software developers: A longitudinal study of the Apache projects. Management Science, 52(7), 984-999. Von Krogh, G., Haefliger, S., Spaeth, S., & Wallin, M. W. (2012). Carrots and rainbows: Motivation and social practice in open source software development. MIS Quarterly, 36(2), 649-676. Leadership and Governance: Gulati, R., Puranam, P., & Tushman, M. (2012). Meta-organization design: Rethinking design in interorganizational and community contexts. Strategic Management Journal, 33(6), 571-586. O'Mahony, S., & Ferraro, F. (2007). The emergence of governance in an open source community. Academy of Management Journal, 50(5), 1079-1106. Shah, S. K. (2006). Motivation, governance, and the viability of hybrid forms in open source software development. Management Science, 52(7), 1000-1014. Singh, P. V., & Phelps, C. (2012). Networks, social influence, and the choice among competing innovations: Insights from open source software licenses. Information Systems Research, 24(3), 539-560. Stewart, K. J., Ammeter, A. P., & Maruping, L. M. (2006). Impacts of license choice and organizational sponsorship on user interest and development activity in open source software projects. Information Systems Research, 17(2), 126-144. | |||||
364-1013-00L | Managerial Cognition | W | 1 credit | 1G | D. Laureiro Martinez, S. Brusoni | |
Abstract | The primary objective of this module is to introduce some of the major theoretical threads and controversies in the field of managerial cognition. A secondary objective is to help understand the process of empirical research that has the potential to make an impact on research and management practice. | |||||
Learning objective | The module will seek to provide: 1) Exposure to key theoretical streams in the area. 2) Familiarity with the issues, methods, findings and gaps in the area. 3) Skills in finding insight in the literature. 4) Skills in critiquing the literature, defining research problems and proposing empirical research in this area. | |||||
Content | Session 1 - Introduction to the field of managerial cognition Session 2 - Methods to study managerial cognition Session 3 - Sensemaking, Mindfulness and Attention | |||||
Literature | Session 1: Introduction 1. March, James G., and Herbert Simon. 1958. Organizations. McGraw-Hill, Ch. 6, Cognitive Limits on Rationality. [CONSTANTIN, SONJA &GEORG] Short: Cyert, Richard and James G. March. 1963. A Behavioral Theory of the Firm. Prentice-Hall, Ch. 6: A Summary of Basic Concepts, pp. 114-127. [CONSTANTIN, SONJA &GEORG] 2. Walsh, J. P. 1995. Managerial and organizational cognition: Notes from a trip down memory lane. Organization Science, 6 (3): 280-322. [MAREIKE, DENIS & DOMINIC] 3. Gerard P. Hodgkinson and Mark P. Healey. 2008. Cognition in Organizations Annual Review of Psychology Vol. 59 : 387-417 [BARBARA, GENG & FELIX] 4. Maier, G. W., Prange, C., & Von Rosenstiel, L. 2001. Psychological perspectives of organizational learning. In M. Dierkes, S. B. Antal, J. Child, & I. Nonaka (Eds.), Handbook of Organizational Learning and Knowledge: 14-34. Oxford, U.K.: Oxford University Press. [JAN & ECATERINA& ANASTASSJIA] 5. Neale, M. A., Tenbrunsel, A. E., Galvin, T., & Bazerman, M. H. 2006. A decision perspective on organizations: social cognition, behavioral decision theory and the psychological links to micro- and macro-organizational behavior. In S. R. Clegg & C. Hardy & T. B. Lawrence & W. R. Nord (Eds.), The Sage Handbook of Organization Studies, 2nd ed.: 485-519. London: Sage Publications. [ANNEGRET, AMULYA, TOBIAS] Session 2: Some methods to study managerial cognition 1. Porac, J. F. Thomas, H., Wilson, F., Paton, D., & Kanfer, A. 1995. Rivalry and the Industry Model of Scottish Knitwear Producers. Administrative Science Quarterly, 40: 203-227. [BARBARA, GENG & FELIX] 2. Gioia, D. A. and K. Chittipeddi. 1991. Sensemaking and sensegiving in strategic change initiation, Strategic Management Journal, 12. [ANNEGRET, AMULYA, TOBIAS] 3. Amabile, T. M., Barsade, S. G., & Mueller, J.S. 2005. Affect and Creativity at Work. Administrative Science Quarterly, 50(3): 367-403. [MAREIKE, DENIS & DOMINIC] 6. Busenitz, L.W., Barney, J.W., 1997. Differences between entrepreneurs and managers in large organizations: biases and heuristics in strategic decision-making. Journal of Business Venturing 12 (6), 9-30. [JAN & ECATERINA& ANASTASSJIA] 4. Weick, K. E. & Roberts, K. H. 1993. Collective Mind in Organizations: Heedful Interrelating on Flight Decks. Administrative Science Quarterly, 38: 357-381. [CONSTANTIN, SONJA &GEORG] Session 3: Sensemaking, Mindfulness and Attention 1. Daft & Weick. 1984. Toward a model of organizations as interpretation systems. Academy of Management Review, 9, 284-295. [MAREIKE, DENIS & DOMINIC] Bonus: http://www.wired.com/wired/archive/4.04/weick_pr.html 2. Thomas, J. B., Clark, S. M., & Gioia, D. A. 1993. Strategic Sensemaking and Organizational Performance: Linkages among Scanning, Interpretation, Action and Outcomes. Academy of Management Journal, 36: 239-270. [CONSTANTIN, SONJA &GEORG] 3. Weick, K. E., K. M. Sutcliffe and D. Obstfeld. 2005. Organizing and the process of sensemaking, Organization Science, 16 (4). [ANNEGRET, AMULYA, TOBIAS] Weick & Sutcliffe. 2006. Mindfulness and the Quality of Organizational Attention. Organization Science July/August 17:514-524 [Suggested but not required. Daniella will discuss it.] 4. Ocasio, W. 1997. Towards an attention-based view of the firm. Strategic Management Journal, 18 summer: 187-206. [JAN & ECATERINA& ANASTASSJIA] 5. Hoffman, A. J. & Ocasio, W. 2001. Not all events are attended equally: Toward a middle-range theory of industry attention of external events. Organization Science, 12 (4): 414-434. [BARBARA, GENG & FELIX] Gavetti, G., D. Levinthal, and W. Ocasio. 2007. Neo-Carnegie: The Carnegie School's Past, Present, and Reconstructing for the Future. Organization Science 18:523-36. [Suggested but not required. Daniella will discuss it.] | |||||
Prerequisites / Notice | The module consists only of three (3) sessions. Active participation during each full session is critical for achieving the course objectives. Attendance is therefore compulsory and there are no exceptions. If you can not join on one of the dates, please refrain from enrolling the course. Assignments: At the beginning of each session, students must distribute copies of their critique of the assigned reading (please see your names at the end of each reference). The critique should be brief, extending to a maximum of one printed page. The critique is meant to serve as a starting point for the student to lead the class in a discussion of the strengths and weaknesses of the paper. For each session, students should emphasize the following topics in their critique: Session 1: summarize the research problem or question summarize the central framework/ theory that is proposed list the strengths of the paper (you can use bulletpoints) list the weaknesses of the paper (you can use bulletpoints) Session 2: Same as for session 1 with particular emphasis on the pros and cons of the method used Propose at least one alternative methodology and explain why you think the alternative method(s)would have been better suited Session 3: three bullet points summarizing the paper strengths three bullet points summarizing the paper weaknesses prepare a one-page research idea: what would be a new research question? how would you extend the paper? what could be counterintuitive results? | |||||
364-1013-02L | Perspectives on Organizational Knowledge | W | 1 credit | 1G | Z. Erden Özkol | |
Abstract | This module aims to introduce major theoretical perspectives on organizational knowledge and to improve the competence of doctoral students to publish in relevant research areas. How knowledge is conceptualized and what aspects of knowledge are being studied depends on the epistemological and ontological assumptions accepted by researchers. | |||||
Learning objective | This module aims: · to provide a basic understanding of key theoretical perspectives on organizational knowledge. · to provide insights on the research questions, methods, findings and implications of the selected papers. · to build skills in critically analyzing the literature. · to identify future directions in the area. | |||||
Content | Given its prominence in the history of organization science, an impressive variety of theories have evolved that deals with organizational epistemology, the way of knowing in the organization (e.g., Brown & Duguid, 1991; Grant, 1996; Kogut & Zander, 1992; Lave & Wenger, 1991; Nonaka, 1994; Spender, 1996; Tsoukas, 1996; von Krogh et al., 1994). In this module, students will learn about various seminal contributions in the area of organizational knowledge and make connections between theory and empirical research, and identify the ongoing trends and future research directions. Session 1: Knowledge based view of the firm. Session 2: Knowledge sharing and transfer Session 3: Social practice view on knowledge and knowing | |||||
Literature | Remark: The list might change. Students will be informed about the changes before the first session. - von Krogh G, Roos J, Slocum K. 1994. An essay on corporate epistemology. Strategic Management Journal, Summer Special Issue 15: 53-71. - Nonaka, I., 1994. A dynamic theory of organizational knowledge creation. Organization Science 5: 14-37. - Kogut, B., Zander, U., 1992. Knowledge of the firm, combinative capacities and the replication of technology. Organization Science 3: 383-397. - Grant, R. M. 1996. Toward a knowledge-based theory of the firm. Strategic Management Journal, 17: 109-122. - Spender, J.-C. 1996. Making knowledge the basis of a dynamic theory of the firm. Strategic Management Journal, 17: 45-62. - Szulanski, G. 1996. Exploring internal stickiness: Impediments to the transfer of best practice within the firm. Strategic Management Journal, 17: 27-43. - Osterloh, M. and B. Frey, 2000. Motivation, Knowledge Transfer and Organizational Forms, Organization Science, 11: 538-550. - Carlile, Paul Reuben. 2002. A pragmatic view of knowledge and boundaries: Boundary objects in new product development. Organization Science 13 442-455. - Hansen, M. T. 1999. The search-transfer problem: The role of weak ties in sharing knowledge across organization subunits. Admin. Sci. Quart. 44 82-111. - DeCarolis, D.M., D.L. Deeds. 1999. The impact of stocks and flows of organizational knowledge on firm performance: An empirical investigation of the biotechnology industry. Strategic Management Journal. 20(10) 953-968. - Brown JS, Duguid P. 2001. Knowledge and organization: a social practice perspective. Organization Science. 12: 198-213. - Cook SDN, Brown JS. 1999. Bridging epistemologies: the generative dance between organizational knowledge and organizational knowing. Organization Science. 10(4): 381-400. - Orlikowski, W. J. 2002. Knowing in practice: Enacting a collective capability in distributed organizing. Organization Science, 10: 249-273. - Nicolini, D. 2011. Practice As The Site Of Knowing: Insights From The Field Of Telemedicine. Organization Science. 22 (3): 602-620. - Ewenstein, B. & Whyte, J. 2009. Knowledge practices in design: The role of visual representations as 'epistemic objects'. Organization Studies, 30, 7-30. | |||||
Prerequisites / Notice | In each session, students will have three assignments: 1) prepare for in-depth discussion of all papers. The students are supposed to read in advance all the papers that will be presented in the sessions. 2) critically review and discuss the assigned papers. Assignments will be done after participants confirm their presence. 3) submit in advance a short critique of the assigned papers - max 2 pages. | |||||
364-1013-01L | Organizations and Technical Change | W | 1 credit | 1G | S. Brusoni | |
Abstract | This 1-credit module is designed to introduce students to selected topics focused on the relationship between technical change and organizational dynamics. | |||||
Learning objective | The objectives of this module are: 1) to provide students with a relatively detailed understanding of some of the major theoretical perspectives and their developments in the field of innovation and technical change 2) to illustrate how these perspectives have evolved 3) to discuss how they can be operationalized 4) and, on these bases, develop the ability of constructively criticising them in order to learn how 'to build upon and extend' extant research in the field | |||||
Content | Session 1. Technology rules. Once upon a time, people believed that technology determines organization. What techniques we use explain how we organize around them. If there is no fit to the technique, then there is failure. Powerful, simple, predictive, engineer-friendly. Occasionally correct, too. Session 2. Never Mind the Bollocks ... Once upon a time, people believed that technologies were fully malleable to social dynamics. Marxists, social constructivists and management gurus (still) share great optimism in the human ability of solving technical problems, once the right organizational processes are in place. Revolutionary, ambitious, path-breaking. Occasionally buffling, though. Session 3. It takes two to tango: Technological and organizational dynamics. And last, the big compromise, or the balance finally found? It is not white. It is not black. But it is not grey either. Pragmatic, practical, progressive. Relevant? Actionable? | |||||
Literature | Session 1. 1. Henderson, R. M. and K. B. Clark (1990), Architectural Innovation: the reconfiguration of existing product technologies and the failure of established firms, Administrative Science Quarterly, 35: 9-30. 2. Dosi G. (1982). Technological paradigms and technological trajectories: A suggested interpretation of the determinants and directions of technical change. Research Policy. 11 (3): 147-162. 3. Baldwin C. and K. Clark. 2006 The Architecture of Participation: Does Code Architecture Mitigate Free Riding in the Open Source Development Model? Management Science 52 (7): 1116-1127 4. Von Hippel, E. (1990) Task Partitioning: An Innovation Process Variable, Research Policy 19, 407-418. 5. Brusoni, S., Prencipe A. and K. Pavitt (2001) Knowledge Specialisation, Organizational Coupling and the Boundaries of the Firm: Why Firms Know More Than They Make?, Administrative Science Quarterly, 46 (4): 597-621. 6. Pavitt K. (1984). Sectoral patterns of technical change: towards a taxonomy and a theory. Research policy 13 (6): 343-374 Session 2. Never Mind the Bollocks: organizations rule. 1. Marglin 1974. What do bosses do? The origins and function of hierarchy in capitalist production. Review of Radical Political Economics. 6 (2): 60-112 2. Sewell Jr, William H. "A theory of structure: Duality, agency, and transformation." American journal of sociology (1992): 1-29. 3. Barley, S.R. (1986). Technology as an Occasion for Structuring: Evidence from Observation of CT Scanners and the Social Order of Radiology Departments. Administrative Science Quarterly, 31: 78-108. 4. Hargadon A. and R. Sutton (1997), Technology Brokering and Innovation in a Product Development Firm, Administrative Science Quarterly, 42 (4): 716-749. 5. Garud R and M A Rappa (1994) A Socio-Cognitive Model of Technology Evolution: The Case of Cochlear Implants. Organization Science. 5 (3): 344-362 6. Tripsas, M., and G. Gavetti 2000. Capabilities, cognition and inertia: Evidence from digital imagining. Strategic Management Journal, 21: 1147-1161. Session 3. It takes two to tango: technological and organizational dynamics 1. Adler, P. S., and B. Borys (1996) Two types of bureaucracy: Enabling and coercive. Administrative Science Quarterly, 41: 61-89. 2. Kaplan S (2008) "Framing Contests: Making Strategy Under Uncertainty," Organization Science. 19 (5): 729-752. 3. Feldman M. (2000) Organizational routines as a source of continuous change. Organization Science, 11: 611-629.. 4. Gilbert CG. (2005) Unbundling the Structure of Inertia: Resources vs. Routine Rigidity. Academy of Management Journal, 48: 741-763 5. Hutchins, E. 1991. Organizing work by adaptation. Organization Science, 2: 14-39. 6. Edmondson, A. C., R. M. Bohmer and G. P. Pisano 2001 Disrupted routines: Team learning and new technology implementation in hospitals. Administrative Science Quarterly, 46: 685-716. | |||||
Prerequisites / Notice | For each session, students will have two assignments: 1) prepare a summary and critique of at least one of the readings for the day; 2) come prepared to critically discuss all the readings for the day. For the critique, readings will be preassigned in advance of each sessions (two weeks prior to the beginning of the course). Further info on assignments will be circulated by email before the start of the course. | |||||
364-1013-05L | Organizational Behavior Number of participants limited to 20. | W | 1 credit | 1S | J. L. Sparr, G. Grote | |
Abstract | Organizational behavior concerns the study of individual and group-level processes in organizations like creativity, motivation, decision-making, and leadership. In this module an overview of major research streams and empirical paradigms in organizational behavior is provided. | |||||
Learning objective | The objectives of this course are: - to provide an overview of OB research - to discuss major research streams in OB - to enable students to relate their own research to concepts and methods used in OB | |||||
364-1013-06L | Marketing Theory Does not take place this semester. | W | 1 credit | 1G | F. von Wangenheim | |
Abstract | The course is taught Florian Wangenheim (ETHZ) It focuses on the theoretical foundations of marketing and marketing research. | |||||
Learning objective | The purpose of the course is to confront students with current theoretical thinking in marketing, and currently used theories for understanding and explaining buyer and customer behavior in reponse to marketing action. | |||||
Content | In the first class, current understanding of the marketing literature and marketing thought is discussed. In the following classes, various theories are discussed, particularly in light of their importance for marketing. Economic, pschological and sociological theory will be related to current marketing thought. | |||||
Doctoral Studies in Economics | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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. UZH Module Code: DOEC0732 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | W | 3 credits | 2S | H. Gersbach, University lecturers | |
Abstract | Recent developments in the fields of contract theory, finance, banking, money and macroeconomics. | |||||
Learning objective | Understanding recent developments in the fields of contract theory, finance, banking and macroeconomics. | |||||
363-1036-00L | Empirical Innovation Economics | W | 3 credits | 2G | M. Wörter | |
Abstract | The course focuses on important factors that drive the innovation performance of firms, like innovation capabilities, science-industry relationships, environmental policy and it shows how innovation activities relate to firm performance and to the technological dynamic of industries. Hence, the course provides an understanding of the relationship between technical change and industrial dynamics. | |||||
Learning objective | The course provides students with the basic skills to understand and assess empirically the technological activities of firms and the technological dynamics of industries. | |||||
Content | The course consists of two parts. Part I provides an introduction into important topics in the field of the economics of innovation. Part II consists of empirical exercises based on the KOF Innovation Data. In part I we will learn about ...a) market conditions that encourage firms to invest in R&D (Research and Development) and develop new products. ...b) the role of universities for the technological activities of a firm (technology transfer). ...c) how technologies diffuse among firms. ...d) how the R&D activities of firms are affected by economic crises and how firms finance their R&D activities. ...e) how we can measure the returns to R&D activities. ...f) how (environmental) policies affect the technological activities of a firm. In part II we will use the KOF Innovation Survey Data in order to assess empirically the technological activities of firms referring to the topics introduced in part I. | |||||
Lecture notes | Will be provided in the course | |||||
Literature | Literature will be presented in the course. For an introduction into the economics of innovation see G.M. Peter Swann, The Economics of Innovation - an Introduction, Edward Elgar, 2009. For an overview of empirical innovation studies see W.M. Cohen (2010): Fifty Years of Empirical Studies of Innovation Activities and Performance, in: B.H Hall, N. Rosenberg (eds.), Handbook of Economics of Innovation, volume 1, Elsevier, pp. 129-213. | |||||
Prerequisites / Notice | Course is directed to advanced Master-Students and PhD Students with an interest in empirical work. | |||||
364-0531-00L | CER-ETH Research Seminar | E- | 0 credits | 2S | H. Gersbach, A. Bommier, L. Bretschger, W. Mimra | |
Abstract | Research Seminar of Center of Economic Research CER-ETH | |||||
Learning objective | Understanding cutting-edge results of current research in the fields of the CER-ETH Professors. | |||||
Content | Referate 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 / Notice | Bitte spezielle Ankündigungen beachten. Studierende des GESS-Pflichtwahlfachs sollten sich vor Beginn mit der Seminarleitung in Verbindung setzen. | |||||
364-0559-00L | Dynamic Macroeconomics (Doctoral Course) | W | 3 credits | 2V | H. Gersbach | |
Abstract | Dynamic models and workhorses in macroeconomics | |||||
Learning objective | In this doctoral course, we learn dynamic general equilibrium theory and the basic workhorses in macroeconomics. After the course the participants will be able to speak the Arrow-Debreu and recursive language and apply the frameworks to interesting issues in Growth, Public Finance, Monetary Theory and Banking. | |||||
Content | 1. Introduction 2. The Arrow-Debreu Approach and Sequential Markets 3. The Neoclassical Growth Model and the Representative Agent Model 4. Mathematical Background 5. Frictions and Banking 5.1 Overview 5.2 Banks in Macroeconomic Models 5.3 Ramsey cum Banks: General Equilibrium with Banks and Outside Equity 6. Overlapping Generations Models and Models with Heterogenous Agents 7. Debates 7.1 Theory of Piketty 7.2 High Bank Equity Requirements | |||||
364-0556-00L | Doctoral Workshop: Astute Modelling Prerequisite: Students are expected to attend the cours 364-0559-00L "Dynamic Macroeconomics (Doctoral Course)", before registering for this workshop. | W | 3 credits | 1G | H. Gersbach | |
Abstract | In this workshop, ongoing research is presented and the criteria and guidelines for astute modelling of economic, political, and social situations are discussed. | |||||
Learning objective | We will learn how to craft models, how to present our own research and improve our analytical skills. | |||||
Prerequisites / Notice | Students are expected to attend the doctoral course "Macroeconomic Dynamics" before registering for this workshop. | |||||
364-0585-01L | PhD Course: Applied Econometrics | W | 2 credits | 2S | P. Egger | |
Abstract | In this course, we will address three blocs of selected problems: (i) estimation of fixed and random effects panel data models for single equations and systems of equations; (ii) estimation of models with endogenous treatment effects or sample selection; (iii) estimation of models with interdependent data (so-called spatial models). | |||||
Learning objective | The main agenda of this course is to familiarize students with the estimation of econometric problems with three alternative types of problems: (i) estimation of fixed and random effects panel data models for single equations and systems of equations; (ii) estimation of models with endogenous treatment effects or sample selection; (iii) estimation of models with interdependent data (so-called spatial models). Students will be able to program estimation routines for such problems in STATA and apply them to data-sets. They will be given a data-set and will have to work out empirical problems in the context of a term paper. | |||||
Lecture notes | For panel data analysis, I will rely on the book: Baltagi, Badi H. (2005), Econometric Analysis of Panel Data, Wiley: Chichester. For sample selection and endogenous treatment effect analysis, I will rely on the book: Wooldridge, Jeffrey M. (2002), Econometric Analysis of Cross Section and Panel Data, MIT Press: Cambridge, MA. For spatial econometrics: I will mostly use papers. I will prepare a script (based on slides), covering all topics. | |||||
364-0517-00L | Urban and Spatial Economics Does not take place this semester. | W | 3 credits | 2V | ||
Abstract | This course explores the economic factors which influence location decisions of households and firms, and it explores theories of how these decisions induce the formation of cities. The course will cover the neoclassical models of land use, concepts from the new economic geography, zoning, and transportation and traffic congestion. Prerequisite: one semester in microeconomics. | |||||
Learning objective | The objective of the course is to provide graduate students with an understanding of the economic factors which give rise to urban spatial structure and the models which have been employed to study these processes. The course aims to help students develop an appreciation for the use of economic models in both positive and normative frameworks. We will assess both the history of thought regarding the role of markets in creating urban development, and we will read about modern theories of externalities and economic factors which induce agglomeration. The final section of the course will focus on transportation problems in urban areas and the use of economic models to assess public policy measures to deal with congestion and associated externalities. | |||||
Content | Outline of Lectures Topic 1: Why do cities exist? Topic 2: The Basic Muth-Mills model Topic 3: The New Economic Geography Topic 4: Business demand for land and Von Thünen's model) Topic 5: Urban spatial structure Topic 6: Land use control Topic 7: City size and city growth Topic 8: Traffic externalities and congestion Topic 9: Public transport | |||||
Lecture notes | Textbook o Urban Economics by Arthur O'Sullivan, McGraw-Hill. Ancillary Texts o Cities, agglomeration and spatial equilibrium by E. L. Glaeser, 2008, Oxford University Press. o A Companion to Urban Economics, Richard Arnott and Daniel McMillen (eds.), Blackwell, 2006. o The new introduction to geographical economics, Steven Brakman, Harry Garretsen and Charles van Marrewijk, Cambridge. o Urban transport economics, by K. A. Small and E. Verhoef, Routledge. | |||||
364-0581-00L | Microeconomics Seminar (ETH/UZH) | E- | 0 credits | 2S | H. Gersbach | |
Abstract | Research Seminar research papers of leading researchers in Microeconomics are presented and discussed | |||||
Learning objective | Research Seminar research papers of leading researchers in Microeconomics are presented and discussed | |||||
Content | Invited Speakers present current research in Microeconomics | |||||
364-1025-00L | Advanced Microeconomics | E- | 3 credits | 2G | A. Bommier | |
Abstract | The 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 objective | The 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. | |||||
Content | The 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. | |||||
Literature | The 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. | |||||
364-1058-00L | Risk Center Seminar Series Number of participants limited to 50. | Z | 0 credits | 2S | B. Stojadinovic, D. Basin, A. Bommier, D. N. Bresch, L.‑E. Cederman, P. Cheridito, P. Embrechts, H. Gersbach, H. R. Heinimann, M. Larsson, W. Mimra, G. Sansavini, F. Schweitzer, D. Sornette, B. Sudret, U. A. Weidmann, S. Wiemer, M. Zeilinger, R. Zenklusen | |
Abstract | This 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 objective | Participants 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. | |||||
Content | This 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 notes | There 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. | |||||
Literature | Literature will be provided by the speakers in their respective presentations. | |||||
Prerequisites / Notice | Participants should have relatively good mathematical skills and some experience of how scientific work is performed. | |||||
364-1062-00L | Experimental Methods | W | 1 credit | 1V | C. Waibel | |
Abstract | This course introduces PhD students into the principles of experimental methods and outlines how to prepare, conduct and evaluate an experiment. | |||||
Learning objective | This course aims to prepare PhD students for conducting their own experiment. | |||||
Content | 1. Introduction: What are economic experiments and why to use them? 2. Principles of economic experiments: Validity, control and limits. 3. Choice of experimental design: Subjects, repetition, matching, payment. 4. Conducting experiments: Instructions, testing, recruiting, sessions. 5. Measuring techniques: Eliciting beliefs, risk attitudes, social preferences. 6. Evaluating experimental data: A short overview. | |||||
Literature | Books: - Bardsley et. al (2009): Experimental Economics: Rethinking the Rules, New Jersey, Princeton University Press. - Friedman & Sunder (1994): Experimental Methods: A Primer for Economists, Melbourne, Cambridge University Press. - Kagel/Roth (1995): Handbook of Experimental Economics, New Jersey, Princeton University Press. Basic Articles: - Roth (1988): Laboratory Experimentation in Economics: A Methodological Overview, Economic Journal, pp. 974-1031. - Smith (1994): Economics in the Laboratory, Journal of Economic Perspectives, 8, pp. 113-131. A readling list with articles for each lecture has been published in Moodle. | |||||
Prerequisites / Notice | This course is complemented by a course on programming experiments with z-tree. It is not mandatory but recommended to take both courses. | |||||
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. UZH Module Code: DOEC0584 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | W | 2 credits | 1S | P. Egger, J.‑E. Sturm, University lecturers | |
Abstract | 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 | |||||
Learning objective | 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. | |||||
364-0513-00L | Empirical Methods in Energy and Environmental Economics | W | 3 credits | 2V | A. L. Martinez Cruz, M. Filippini, W. Greene | |
Abstract | This course is designed for PhD students interested in Energy and Environmental Economics. It is open to advanced Master students from D-MTEC and D-MATH (ETH Zurich). The focus of the lectures is on applied econometrics in the energy and environmental fields. | |||||
Learning objective | The goal is to present a coherent description of discrete choice modelling (e.g. conditional logit model) and its generalization in the form of count modelling (e.g. Poisson and negative binomial models) and survival analysis (e.g. proportional hazard Weibull model). The contents and discussions put emphasis on real examples and policy applications. The presentations and discussions are based on a selection of recent research papers relevant to the covered topics. In each section of the seminar, the students will have the opportunity of reviewing and presenting some of the relevant papers to the class. | |||||
Content | Part I: Discrete Choice Models; Professor Greene (16 hours) 1. Binary choice 2. Ordered choice 3. Multinomial choice 4. Multinomial choice and heterogeneity 5. Latent class models 6. Mixed logit Part II: Count and survival; modelling; Dr. Martinez-Cruz (13 hours) 1. Count modelling 1.a Poisson model 1.b Negative binomial model 2. Survival modelling 2.a Parametric survival models (e.g. Weibull) 2.b Semi-parametric survival models (e.g. Box-Cox) 3. Latent class specifications | |||||
Lecture notes | During the course of the lecture notes will be made available to the students. | |||||
Prerequisites / Notice | Students are expected to have attended a course in advanced microeconomics and advanced econometrics. Students will be required to bring for the lab sessions a laptop computer with the installed software (NLOGIT, STATA, or an equivalent package). | |||||
Additional Courses | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
364-1064-00L | Inagural Seminar - Doctoral Retreat Pre-registration upon invitation required. Once your pre-registration has been confirmed, a registration in myStudies is possible. | W | 1 credit | 1S | F. von Wangenheim, S. Brusoni, B. Clarysse, T. Netland, J. Reuer, P. Schmid | |
Abstract | This 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 objective | The 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 |
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