Peter Egger: Catalogue data in Autumn Semester 2019
|Name||Prof. Dr. Peter Egger|
|Field||Applied Economics: Innovation and Internationalization|
Professur für Applied Economics
ETH Zürich, LEE G 101
|Telephone||+41 44 632 41 08|
|Department||Management, Technology, and Economics|
Not for MSc students belonging to D-MTEC!
|4 credits||3V||P. Egger, M. Köthenbürger|
|Abstract||"Managerial Economics" provides an introduction to the theories and methods from Economics and Management Science to analyze economic decision-making in the context of markets. The course targets students with no prior knowledge in Economics and Management.|
|Objective||The objective of this course is to provide an introduction to microeconomic thinking. Based on the fundamental principles of economic analysis (optimization and equilibrium), the focus lies on understanding key economic concepts relevant for understanding and analyzing economic behavior of firms and consumers in the context of markets. Market demand and supply are derived from the individual decision-making of economic agents and market outcomes under different assumptions about the market structure and market power (perfect competition, monopoly, oligopoly, game theory) are studied. This introductory course aims at providing essential knowledge from the fields of Economics and Management relevant for economic decision-making in the context of both the private and public sector.|
|Literature||"Mikroökonomie" von Robert Pindyck & Daniel Rubinfeld, aktualisierte 8. Auflage, 8/2013, (Pearson Studium - Economic VWL).|
|Prerequisites / Notice||The course targets both Bachelor and Master students. No prior knowledge in the areas of Economics and Management is required.|
|364-0585-01L||PhD Course: Applied Econometrics||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).|
|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.
|364-1015-00L||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:
|2 credits||2S||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|
|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.|