Distance Learning Program (DLP) offers courses in six-week modules, with the final exam scheduled for Week 7 and the make-up exam scheduled for Week 8. Each course consists of bi-weekly lectures delivered by the main instructor and one weekly exercise session conducted by a local instructor. DLP courses are available year-round, with two terms of course offerings in both the Spring and Fall semester.
All instructional sessions are conducted in English and the recordings of main instructors' lectures are accessible through the Moodle course webpage.
Credits for the courses are awarded by the receiving institutions, aligning with their standards and requirements. Our suggested credit allocation is 5 ECTS credits per course, reflecting an estimated total workload of 125 hours per course.
You can review current DLP course offerings below.
Econometrics in a Nutshell
Main instructor:
Ella Sargsyan, Ph.D. candidate
Course Description: The course will introduce regression analysis and cover some of the most recent econometric techniques central to modern econometric practice. Successful students will gain a deeper understanding of the material discussed in other Distance Learning Program courses. At the end of this course, students will understand basic econometric concepts, basic estimation methods, and methods for testing statistical hypotheses. They will be able to apply standard methods of constructing econometric models, process statistical information, obtain statistically sound conclusions, and give meaningful interpretations to the results of the estimated econometric models. In addition, students will gain real data processing skills, using econometric packages for building and estimating econometric models in R.
Economics of Energy
Main instructor:
Silvester Van Koten, Ph.D.
Course Description: Energy is a necessity of daily life and a vital input to industry around the world. Energy also plays a central role in climate policy and geopolitics.
The course, including the viewpoints of economic markets and economic regulation, aims to inform about various energy system topics. The focus will be on the supply side of the market, targeting the main properties of fossil and renewable energy sources. While the economics (supply, demand, and pricing) is the focus, special attention is also given to the security and strategic value of the different energy sources.
Part of the course gives a broad background of knowledge on energy topics and issues. The other part uses economic tools and mathematical models to better understand the economic logic of energy. Such economic tools provide a way to systemize the abundance of information available on energy. This also helps to understand and appraise present policies regarding energy. Though our scope is general, attention is paid to some of the local settings for the EU, the Caucasus, Ukraine, Central Asia, and Russia.
Environmental Economics
Main instructor:
Vladimir Otrachshenko, Ph.D.
Course Description: This course introduces major concepts in the field of environmental economics. It is designed to help students understand theories related to natural resources and make use of microeconomic and statistical analysis. This course will also focus on valuation techniques for environmental goods used in the real world by analysts and policymakers. There is a growing demand in economics and the public sector for individuals with quantitative skills who can understand and apply these techniques, analyze results, and produce reports. By the end of this course, students will be able to analyze economic problems related to environmental goods using rigorous valuation techniques.
Ethics and Finance
Main instructor:
Laure Sabine Marie de Batz de Trenquelléon, Ph.D.
Course Description: Ethics and finance: complementary or conflicting terms? In this highly interactive course, you will dig into the most notorious financial crimes to try and better understand what can possibly drive anyone of us into cheating investors and possibly ruining one’s career.
The course aims to raise your awareness and scrutiny to possible ethical challenges firms, managers and employees face when thinking about financial laws and enforcement, with an economic perspective and illustrated with real-life and up-to-date examples. The scope of unethical financial behaviors covers mostly market abuses, including price manipulation, insider trading, and communication of false information (in particular accounting frauds). This course should contribute to a better understanding of how ethical issues play a role in finance, how they may conflict with firms’ strategies, and how managers’ and employees’ decisions can impact financial markets and investors’ wealth.
The goal of this course is to prepare students for potential ethical dilemmas they might face along their careers. Upon successful completion of this course, students will be able to challenge and put into perspective the financial behavior of firms (financial institutions and listed firms in particular) in terms of ethics, from an economic perspective.
From Correlation to Causation: Understanding the 2021 Nobel Prize
Main instructor:
Christian Ochsner, Ph.D.
Course Description: Did you know that men who shave their beards every day live longer? This statement is true in terms of correlation, but there is no causal relationship at all. In fact, empirical research in economics and social sciences faces the challenge of distinguishing correlation from causation. The course introduces concepts of causal analysis in a non-technical way. These concepts were awarded the 2021 Nobel Prize in Economics. The focus will be on research settings and designs. Figures and graphs will help to train students to understand the intuition behind the respective concepts. We will read and understand research papers in the field of long-run development and political economy that focus on specific concepts of causal empirical analysis.
Innovation Economics
Main instructor:
Taras Hrendash, Ph.D.
Course Description: This course will cover selected topics on the Economics of Innovation. It will help students to answer the most common questions about economic aspects of innovations: Why do firms innovate and why do they strive to be first in a race of research and development? How is the intellectual property of innovators protected and what are the costs and scope of such protection? Where can innovative start-up firms get money to finance their projects? How can employees be motivated to produce innovative outputs? How do innovative ideas spread and foster the creation of new knowledge?
The contents of this course are based on insights from macro- and microeconomics, contract theory, and corporate finance. Previous knowledge in these subjects will be beneficial but is not required.
Labor Economics
Main instructor:
Jakub Grossmann, Ph.D.
Course Description: This course aims to provide students with the basics of labor economics. Theoretical models will be linked to real-life examples, making the course beneficial for subsequent studies and professional life. The tentative list of topics includes labor demand and supply, wages (equilibrium wages, hedonic wages, etc.), human capital, discrimination in the labor market, and unemployment.
Modeling Macroeconomics: How Macroeconomists Understand and Predict the World
Main instructor:
Daniil Kashkarov, Ph.D. candidate
Course Description: The aim of this course is to acquaint students with the general ideas behind structural macroeconomic modeling and how it can be applied to better understand real-world data, whether GDP fluctuations, the evolution of lifetime income, or propensity to consume out of a monetary transfer. We will cover 2-3 basic macro models focusing on economic growth, the development of income and consumption inequality over the lifetime of individuals, and the differences in the behavior of poor vs. wealthy households. For each model, we will define the decision problems of agents in a model (households/firms/government), acquire basic intuition on how a model works, and then describe how a model is calibrated to real data. The discussion of each model will conclude with a debate on how it compares with the real world and what it fails to explain.
Public Economics
Main instructor:
Olga Popova, Ph.D.
Course Description: This course covers the key concepts in public economics, a field of economics that studies the role of government in the economy. The course is designed to introduce seminal theoretical concepts and discuss the most recent empirical developments in public economics with the aim to understand: (i) why and how governments intervene in an economy, (ii) how individuals and firms react to these interventions, and (iii) what are the implications of those interventions for the overall welfare and economic development.
Behavioral Economics
Main instructor:
Aizhamal Rakhmetova, Ph.D. candidate
Moodle Course Webpage
Course Description: The course aims to provide students with basic knowledge in the main areas of behavioral economics by focusing on the behavioral implications of theoretical models and experimental evidence in economics. The list of topics includes bounded rationality, decision-making under risk and uncertainty, preferences, intertemporal decision-making, attention and information acquisition, and other behavioral heuristics and biases. Upon successfully completing this course, students should be able to understand the conceptual framework of behavioral economics and its tools, recognize behavioral biases, and apply insights from psychology when predicting or analyzing economic decision-making.
Climate Change Economics
Main instructor:
Silvester van Koten, Ph.D.
Course Description: Energy is a basic necessity of daily life and a vital input to industry in any society around the world. New technologies, especially renewable power generators such as wind and solar are changing the industry. Also, new climate policies have a growing influence on the economics and practical functioning of energy systems, especially the electricity industry. Firstly, the course aims to give a deeper theoretical insight into economic externalities (such as global warming). A number of classical economic instruments are presented, such as Pigovean taxes, cap-and-trade programs, subsidies, and mandates. The theory addressed has broad applications, also in the field of public finance and public policy. Secondly, the course gives an overview of the economics of new potential decarbonization technologies, such as hydrogen, heat pumps, electric cars, and gas as transition fuel. Thirdly the most recent decarbonization developments will be discussed.
Development Economics
Main instructor:
Martina Miotto, Ph.D
Course Description: The goal of this course is to expose students to the newest developments in applied microeconomic research in development economics, particularly policy-oriented research. The topics covered will be especially close to the research agenda of the recent Nobel Prize Winners in Economics: Abhijit Banerjee, Esther Duflo, and Michael Kremer. A further focus of the course is on the study of infrastructure, firms, and labor markets in developing countries. Overall, the course offers a thorough understanding of current-day research in development, with a special angle on poverty reduction and private market policies. The goal is to enable students to identify promising research questions in these fields (e.g. for future studies), and to help students prepare for a career as a practitioner in government and non-government development organizations.
Education Economics
Main instructor:
Miroslava Federicova, Ph.D.
Course Description: The human capital of the population is a key determinant of labor-market success and economic growth. This brings the economics of education to the core of understanding individual and societal economic prosperity. This course introduces students to the key concepts and major issues of economics of education, placing emphasis on current empirical research in the field. Topics include the basic theory of investments in education (human capital theory) and the role of early childhood education; the returns to education and the empirical problem of disentangling the return to education from the return to innate ability; the role of class size, peer effects, and school expenditure, etc. After the course, students are expected to be able to read, understand and discuss current research in the economics of education, as well as to contribute to the discussion about the current challenges in education.
Health Economics
Main instructor:
Eva Hromadkova, Ph.D.
Course Description: This course provides an introduction to Health Economics. As such, it will cover the production and demand for healthcare, how the determinants of demand and supply affect the costs of various types of healthcare services, and the individual, family, and market investments in health. The field uses the tools of microeconomics and econometrics to examine both theoretically and empirically a number of topics, including the role of health insurance, healthcare in developing countries, and risky behavior.
Financial Markets
Main instructor:
Gabriela Kuvíková, Ph.D.
Course Description: This course aims to provide a basic understanding of today’s changing landscape of financial markets and institutions with a broad scope and emphasis on general principles. Students will study the key fundamentals of financial markets and learn how financial markets and financial institutions work. We will discuss interest rates and their role in valuation, learn about efficient market hypothesis and exchange rate determination, explore money and capital markets, identify various players in the financial institutions industry, and take a closer look at risk management in financial institutions.
Economics of Discrimination
Main instructor:
Gayane Baghumyan, Ph.D. candidate
Moodle Course Webpage
Course Description: How do economists think about discrimination? What roles do preferences, beliefs, and stereotypes play in shaping discriminatory behavior? These questions, among many others, will be explored in this course. We will deepen our understanding of discrimination through a comprehensive examination of experimental research papers and delve into its drivers and mechanisms, drawing upon insights from psychology and behavioral economics.
Introduction to Data Science
Main instructor:
Vahan Sargsyan, Ph.D.
Course Description: This course provides an introduction to data science as a profession and focuses on the theoretical methodologies of the most widely applied machine learning models. The main topics covered include data preparation (data mining, cleaning, and exploring strategies), statistical modeling with the application of appropriate machine learning methodologies (data segmentation, predictive analytics), and mathematical evaluation (test-train split and accuracy measures).
International Trade
Main instructor:
Pavla Vozarova, Ph.D.
Moodle Course Webpage
Course Description: The course provides an introduction into traditional and modern models of international trade, and a discussion of the determinants of trade relations between countries and the impact of these relations on economic welfare. It also explains the principle of different trade policies in light of current international trade issues. Focus is given to the analysis of data and interpretation of empirical studies.