|MT501||Mathematics / Statistics||7||Višnja Jurić|
|EC502||Microeconomics 1||7||Krešo Žigić, Gordi Sušić|
|EC504||Microeconomics II||7||Tomo Vukina, Gordi Sušić|
|MT511||Time Series||8||Tomislav Ridzak
|FN604||Financial Economics||7||Tomislav Galac|
Mathematics/Statistics (preparatory) | Syllabus Download
This intense course is intended to develop students' understanding of key mathematical and statistical techniques that are important to modern postgraduate economics and related courses in the first year. The course is running during the first two weeks before the semester begins (exact timetable to be confirmed). At the end of this course students should be able to demonstrate their understanding of basic concepts of sets and functions, calculus techniques for optimisation, including the Lagrangian, systems of linear equation, linear algebra, and integration. Students should also be able to use simple statistical concepts such as random variables, probability distributions, moments of distribution.
Mathematics/Statistics | Syllabus Download
This course is intended to develop students' understanding of advanced mathematical and statistical techniques that are important to studying econometrics, macroeconomics, microeconomics and finance. At the end of this course students should be able to demonstrate their understanding of optimization techniques, differential equations and basic concepts of topology. Students should also be able to apply probability theory in studying econometrics.
Microeconomics 1 | Syllabus Download
The Microeconomics 1 course introduces students to principles of microeconomic theory at a relatively advanced level. Students attending the course will become familiar with the most important models that economists use trying to explain the behaviour of consumers and firms which are central to the study of all areas of economics (micro foundations). Since microeconomic models are constructed using a wide variety of mathematical tools, students that complete the course will deepen their knowledge of optimization techniques and will become familiar with a special type of functions and their properties that are essential in solving economic problems. Course is followed by Microeconomics 2 (summer semester) that focuses on imperfect market structures, labour supply and labour markets as well as inefficiencies arising from moral hazard and adverse selection.
Macroeconomics 1 | Syllabus Download
Macroeconomics I represent the first in a sequence of two courses that will familiarize students with mathematical methods used in modern macroeconomic theory as well as with their applications within few classical topics in macroeconomics. Modern macroeconomic theory is founded on microeconomics-based dynamic macroeconomic models. After introducing the basic two-period model, students will study the theory of dynamic programming applied to a few basic models of economic growth, further analysis of consumption and investment following.
Econometrics | Syllabus Download
Econometrics introduces students to classical theory of econometrics. Student will become familiar with classical regression theory, estimation using ordinary least square methods as well as theory behind maximum likelihood methods and generalized method of moments. Different methods of hypothesis testing will be introduced, specific for each of the stated estimation methods. Apart from elaboration of theory of each of the mentioned concepts, a computer practicum will be an integral part of this course where students will familiarize themselves with applications of theoretical constructions.
Microeconomics 2 | Syllabus Download
Microeconomics 2 follows Microeconomics 1 course. First part of the winter semester lectures and exercises is devoted to theory and problems of imperfect market structures (monopoly, duopoly, oligopoly, cartels and monopolistic competition) as well as structures' implications on society's welfare. The course extends consumer model developed in Microeconomics 1 to a choice between consumption and leisure and, ultimately, provides insights into some interesting features of labour markets and its imperfections. The course ends with a part focusing on resource allocation under uncertainty (contingent claims, moral hazard, adverse selection and signalling) and resource allocation with externalities and public goods.
Time Series | Syllabus Download
This course will be mostly focused on estimation of theoretical models of time series. After studying stationary univariate (ARMA processes) and multivariate (VARMA models) models, students will also be introduced to non-stationary processes and modeling methods. Also, the course addresses estimation of Kalman filters and GMM methods as two most popular methods of dynamic stochastic model estimation in general equilibrium. A computer practicum is also an integral part of this course where students will apply adopted theoretical constructions.
Financial Economics | Syllabus Download
Financial economics deals with two principal decisions made by economic agents in the financial market: 1) optimal allocation of financial wealth across financial assets and time, and 2) determining the fair price of financial assets bought or sold. Real-world interaction of agents' actual actions based on these decisions then determines the equilibrium in the financial market under uncertainty.