Courses

The aim of this course is to help you develop as a writer within the English speaking academic community by raising awareness of, practicing, and reflecting upon the conventions of written texts. In addition to addressing issues related to academic writing, the course will also focus on the other skills you will need...
Instructor: Thomas Rooney
Credits: 2.0
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
The course is an introduction to labor economics, emphasizing applied microeconomic theory and empirical analysis. We are especially interested in the link between research and public policy. Topics to be covered include: labor supply and demand, taxes and transfers, minimum wages, immigration, human capital,...
Instructor: Andrea Weber
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
To familiarize students with the basic concepts, models, and methods in informationeconomics, the study of the effects of information asymmetries on economic outcomes. Thetopics covered are: - Adverse Selection in Markets◦ Akerlof's lemons model - Nonlinear Pricing◦ The basic two-type model of hidden information◦...
Instructor: Marc Kaufmann
Credits: 2.0
This course will explore ways to integrate insights from psychology into economics by formalizing these insights by extending existing economic models. We will look at two types to enrich classical economic models. First, we will look at a richer set of preferences that people have, such as loss aversion, news utility...
Instructor: Marc Kaufmann
Credits: 4.0
To familiarize you with the issues, results, and methods of applying behavioral-economics modelsof individual decisionmaking to industrial organization. The course will be exclusively abouteconomics questions, not business strategies such as marketing.
Instructor: Botond Kőszegi
Credits: 2.0
The course gives an overview of the economic concepts, theoretical approaches and quantitative methods used in the main areas of European competition law: restrictive agreements (§101 of the EU Treaty), abuse of dominance (§102 of the EU Treaty) and merger control. First we explore the basic concepts of effective...
Instructor: Gergely Csorba
Credits: 4.0
We study problems related to the separation of ownership and control in modern corporations.  Corporate governance refers to the mechanisms that solve two principal-agent problems, one between the owners of capital and managers, and another between the small, dispersed owners and large, concentrated blockholders of...
Instructor: Almos Telegdy
Credits: 2.0
CNSC 6012Prerequisites: You need to be proficient with Python to take this course – read the “to satisfy the prerequisites” section belowCourse schedule: this course will take place twice a week during the second half of the term, starting on November 2, 2017.Course Level: Master and PhDOffice: 609 Nador 11Office...
Instructor: Roberta Sinatra
Credits: 2.0
Course code: CNSC 6006Course Instructor: Prof. Roberta Sinatra, sinatrar@ceu.eduOffice: N11 609Office hours: TBA or by appointmentIMPORTANT: During the first class, we will hand out a test to check the prerequisites among the students. Those that do not reach the minimum threshold will not be able to take the course,...
Instructor: Roberta Sinatra
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
This course is mandatory for MA students in Economic and Legal Studies and elective for the other students.
Instructor: Andrzej Baniak
Credits: 2.0
This course aims at providing an introduction to contemporary research in Political Economy, empirical methodologies and substantive findings in the field. It will cover various empirical methods which are used in the field with a special focus on Political Economy of Development, Corruption, and Media. Throughout the...
Instructor: Arieda Muco
Credits: 4.0
This course is designed to introduce you to the frontiers of research in financial economics. We will mainly focus on theoretical research in the areas of financial frictions, crises, liquidity, bubbles,financial intermediation, and banking. The course will contain a mix of lectures and paperdiscussions. A firm...
Instructor: Adam Zawadowski
Credits: 4.0
Course code: CNSC 6000Level: DoctoralCourse Status: MandatoryBackground and overall aim of the course:Networks are ubiquitous. Economic trade, social relationships, terrorist organizations or biochemical reactions – all span networks. Network science has gone through a spectacular development recently. The data deluge...
Instructor: János Kertész
Credits: 4.0
Main topics are: Brownian motion (Wiener process), martingales, stochastic (Ito) integration, stochastic differential equations, diffusion processes. These tools are heavily used in financial mathematics, biology, physics, and engineering. Thus if someone wants to enter e.g. the flourishing field of financial...
Instructor: Miklós Rásonyi, Kinga Tikosi - TA
Credits: 2.0
The course covers a range of topics in the field of economic growth. The focus is on macro facts and macro models of growth and development, including models of exogenous and endogenous growth, structural change, uncertainty, convergence, path dependence, and multiple equilibria.
Instructor: István Kónya
Credits: 2.0
This course gives an introduction to the field of Health Economics, which is a growing field within Microeconomics. Our focus during the course is on theoretical considerations, with linkages to health policy issues. We build on basic microeconomic models and theories, and see how those can be applied to address...
Instructor: Anikó Bíró
Credits: 2.0
This course is accessible to anyone with an under-graduate background in social sciences or economics; this course presents review of the history of economic thinking and economic analysis; course covers the following topics: Introduction, Great Religions and the Origins of Economic Thought; Greek and Medieval Thought...
Instructor: Julius Horvath
Credits: 2.0
This course gives an introduction into empirical methods used in modern industrial organization. We will discuss typical issues and solutions that come up in the estimation of production functions, demand systems, and models of industry competition. We will examine some applications of the above methods such as merger...
Instructor: Andrzej Baniak
Credits: 2.0
   The course covers key concepts in econometrics and intends to widen and deepen students’ knowledge of econometric methods. The first few lectures introduce some important econometric estimators, focusing on asymptotic theory in a cross-sectional data setting. The second part of the course is devoted to time series...
Credits: 4.0
International Macroeconomics and Finance asks questions like ‘Are business cycles in different economies all alike?’, ‘How macroeconomic fluctuations are linked together across countries?’, ‘Why are international relative price persistent?’, ‘Are there border effects in price differentials’, ‘Is capital flowing from...
Instructor: Attila Rátfai
Credits: 2.0
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
The course is an introduction to labor economics, emphasizing applied microeconomic theory and empiricalanalysis. We are especially interested in the link between research and public policy. Topics to be covered include:labor supply and demand, taxes and transfers, minimum wages, immigration, human capital, education...
Credits: 3.0
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
The course aims at deepening our understanding of how firms and other organizations work. We will study the internal organization of firms as well as the nature of that web of relationships that firms set up with their employees, suppliers, customers, and sometimes their competitors.We will discuss both classical...
Instructor: Alessandro De Chiara
Credits: 4.0
The course will cover the basic mathematical background needed for economics MA students. While our topicis the mathematical theory, albeit application oriented, still some applications in economics will be touched.
Instructor: Pál Hegedűs, Ferenc Bencs
Credits: 0.0
IMPORTANT: This course can accommodate a maximum of 30 students. Priority is given to Mathematics students (Master and PhD) and Network Science PhD students. All other students are selected based on the entry test score. Students that take the course for grade have priority over auditors. All students, both registered...
Instructor: Roberta Sinatra
Credits: 3.0
The goal of the course is to introduce the students to the modern Bayesian econometric analysis of macroeconomic models. Although the course contains a set of theoretical examples and analytical derivations, its focus is mainly on the practical implementation. We will work with reduced-form and structural models and...
Instructor: Eyno Rots
Credits: 2.0
The main objective of the course is to expose students to selected topics at the current research frontier of Law and Economics. A secondary aim of the course is to illustrate how economics can be used to shed light on a variety of normative and positive questionsabout legal institutions and the law.
Instructor: Andrzej Baniak
Credits: 2.0
The recent financial crisis and the ensuing slow recovery prompted macroeconomists to substantially enrich their workhorse modelling framework. In particular, the role of financial intermediation is articulated more carefully and more attention is paid to differences in the circumstances of individual actors. The...
Instructor: Tamás Briglevics, Eyno Rots
Credits: 2.0
students will have the opportunity to examine and understand the scope, nature, structure and contemporary meaning of a 20th century economic and societal system: Soviet communism and its development, history, achievements, failures, ideas and crimes. Soviet communism was a historical attempt to resolve the perceived...
Instructor: Lajos Bokros
Credits: 4.0