(in Polish) Advanced Microeconomics 1600-SZD-N-AMi-EF
Part I. Demand, supply and equilibria
Lectures 1-2: Introduction lecture and math tools
Lectures 3-5: Preferences, Consumers optimization and Walrasian demand (VMA 7,8,9; MWG 2); firms’ profit maximization; Hotelling’s Lemma (VMA 2,3,6 MWG 5C)
Lectures 6-7: Partial and general equilibrium; Walras equilibrium; First and second Welfare Theorem; market failures (VIM 31, VMA 13,17; MWG 15E, 16A-D)
Part II. Static Games
Lecture 8: Introduction, overview, uses of game theory, some applications and examples, and formal definitions of: the normal form, payoffs, strategies, best response, dominant strategies. (T3-5; MWG 7, 8)
Lecture 9: Pure and Mixed Nash equilibrium, Pareto optimal: definition, existence, iterated elimination of dominated strategies; applications (T 6; MWG 7, 8)
Lecture 10: Zero-sum games: optimal value and optimal strategies; applications (S 1,2).
Part III. Dynamic games
Lecture 11: Extensive games: game tree, perfect and incomplete information structure, Nash equilibrium, subgame perfect equilibrium, applications. (FT 4, PRZ 1)
Lecture 12: Multistage games: open-loop Nash equilibrium, applications (PRZ 3)
Lecture 13: Multistage games: closed-loop Nash equilibrium, applications (PRZ 3).
Part IV. Behavioral Game Theory
Lecture 14: Experiments in game theory
Type of course
Course coordinators
Learning outcomes
Knowledge: Knows and understands:
WG_1 - to the extent necessary for existing paradigms to be revised - a worldwide body of work, covering theoretical foundations as well as general and selected specific issues - relevant to a particular discipline within the social sciences
WG_2 - the main development trends in the disciplines of the social sciences in which the education is provided
WG_3 - scientific research methodology in the field of the social sciences
WK_1 - fundamental dilemmas of modern civilisation from the perspective of the social sciences
WK_2 - economic, legal, ethical and other relevant determinants of scientific activity in the field of the social sciences
Skills: Can
UW_1 - make use of knowledge from various fields of science, in particular the social sciences in order to creatively identify, formulate and innovatively solve complex problems or perform tasks of a research nature, and in particular to: define the purpose and object of scientific research in the field of the social sciences, formulate a research hypothesis, develop research methods, techniques and tools and apply them creatively, make inferences based on scientific findings
UW_2 - make a critical analysis and evaluation of the results of scientific research, expert activity and other creative works and their contribution to the development of knowledge
Skills: Is ready to:
KK_1 - critically evaluating achievements within a given scientific discipline in the field of the social sciences
KK_2 - critically assessing one's own contribution to the development of a scientific discipline
Assessment criteria
Description of requirements related to participation in classes, including the
permitted number of explained absences; participation in all classes is compulsory, any absence should be justified with an email to one of the lecturers
Principles for passing the classes and the subject (including resit session);
The final exam will consist of two parts: the first part will cover topics in the 1st and 2nd parts of the course (listed above), the second part of the exam will cover topics in the 3rd-7th part of the course. The two parts will have an equal weight. To pass the exam, students must score at least 50% from each part. Students who failed the exam have one chance to correct their grade (resit session).
Methods for the verification of learning outcomes; Written or oral credit
Exam at the end of the course.
Evaluation criteria:
The final exam will consist of two parts: the first part will cover topics in the 1st part of the course (listed above), the second part of the exam will cover topics in the 2nd, 3rd and 4th part of the course. The two parts will have an equal weight. The students must get at least 50% of points from each part of the exam in order to pass.
Evaluation criteria
At the exam, students will be asked to solve problems using economic models and frame-works, which they learned during the course (possibly, with some minor extension). All an-swers will be mostly composed of mathematical expression. The basic evaluation criterion is therefore simply whether the answer is mathematically correct. In addition, the questions might request some sketches of the intuition. In this case the primary evaluation criteria will be: clarity of the expression, logic and reference to the mathematical expressions.
Practical placement
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Bibliography
• Varian, H. R., Microeconomic Analysis, W. W. Norton & Co., ed. 3′ (VMA)
• Mas-Colell, A., M. D. Whinston, J. R. Green, Microeconomic Theory, Oxford University Press, 1995 (MWG)
• Tadelis, Steven. Game Theory: An Introduction. Princeton University Press, 2013.
• Gibbons, Robert S. Game Theory for Applied Economists. Princeton University Press, 1992.
• Straffin, Philip D. Game Theory and Strategy. Vol. 36. MAA, 1993.
• Osborne, Martin J., and Ariel Rubinstein. A Course in Game Theory. MIT press, 1994.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: