Courses

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
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
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
This course is mandatory for MA students in Economic and Legal Studies and elective for the other students.
Instructor: Andrzej Baniak
Credits: 2.0
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
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
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
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 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 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
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