The main aim of this course is to provide the students with an advanced training in econometric theory. Students successfully completing this course should be able to apply most of the modern econometric tools in empirical studies and, also, to understand and evaluate new researchresults in many important areas of...
Instructor: Laszlo Matyas
Credits: 4.0
We introduce the fundamental methods and toolkit needed to analyze dynamic general equilibrium optimizing models in discrete time. The goal of this course is to provide students with understanding a set of key macroeconomic models and how those can be taken to data. The solution/estimation methods reviewed during the...
Instructor: István Kónya, Tamás Briglevics
Credits: 4.0
This course presents the foundations of, and selected topics in, game theory. We will review basic definitions and equilibrium concepts, and develop applications ranging from auctions to political economy and industrial organization. The goal is to develop a structured way of thinking about strategic interactions,...
Instructor: László Kóczy
Credits: 2.0
Econometrics 2 provides the basic tools of applied econometric analysis. The course is based on regression analysis (covered in Econometrics 1), and gives a thorough introduction to the problem of endogeneity with possible treatments, time series regressions, linear panel models, and nonlinear probability and censored...
Instructor: Andrea Weber
Credits: 5.0
The course is a largely intuitive introduction to the linear regression model---the workhorse of appliedeconomics. The focus is on the ordinary least squares estimator, its interpretation, and the assumptionsunderlying its statistical properties. 
Instructor: Robert Lieli
Credits: 3.0
core for MSc In Finance ( Full Time); elective for: MA in Economic Policy in Global Markets, MA in Economics This course offers the financial theory and quantitative tools necessary for understanding how assetprices are determined, and how financial assets are used for investment. The first half of the...
Instructor: Adam Zawadowski
Credits: 4.0
This course gives a graduate level introduction to fundamental issues in particular areas in modernmacroeconomics, including long‐term growth, consumption, savings and asset pricing, investment in physicalcapital and inventories, and (if time permits) labor markets. The material also provides the foundation for...
Instructor: Attila Rátfai
Credits: 5.0
The course is aimed at providing a basic background in the field of graduate macroeconomics. The focus will be on real and monetary models of the business and financial cycle and their policy implications. The main aim of this course is to acquaint students with the modern macro theory at a graduate level and to give...
Instructor: Balazs Vilagi
Credits: 5.0
The purpose of this course is to introduce elements of mathematics which are most important for understanding the courses of microeconomics, macroeconomics and econometrics. The course includes 4 main parts: a) constrained optimization methods, b) dif
Instructor: Ádám Reiff, Imre Fekete
Credits: 3.0
The course discusses the mathematical foundations ofbasic statistical tools that are frequently used in econometric analysis.The course is a pre-requisite for the EconometricsI course later in the fall semester. Students passing the exam should befamiliar with the basic statistical concepts (samples, estimators,...
Instructor: Ádám Reiff, Katalin Varga
Credits: 3.0
CORE: for MA Economics 1st year; MANDATORY: for 1st year PhD with no credits earnedMicroeconomic Theory I is the first course in the microeconomic theory series for the students enrolled in the MA in economics. The objective of this course is to provide students with standard graduate-level microeconomic tools. Topics...
Instructor: Alessandro De Chiara
Credits: 5.0
The purpose of this course is to present some topics which are part of the core of modern microeconomics, namely elements of game theory and topics in information economics. The course is a continuation of the Microeconomic Theory I course. During the course both rigour and intuition will be emphasized.
Instructor: Andrzej Baniak
Credits: 4.0