Teaching and Advising

Kyiv School of Economics

Teaching (Master Students)

Advanced Macroeconomics

Short Description:

This course is the introduction to the modern macroeconomic modeling. The first part of the course is devoted to the growth model and its extensions, which is the workhorse framework of most macro models, as well as analytical and numerical approaches to solve it. The topics will include competitive and recursive equilibrium, dynamic programming, lack of commitment and more. In the second part of the course, we will introduce fiscal and monetary policy to the growth model and consider, among others, New Keynesian, optimal taxation, and government debt models. If time permits, we can go over some open macro, financial stability and/or heterogeneous agent models. Overall, the course is a mix of tools and their application to specific macroeconomic questions. MatLab and Dynare will be used for some topics.

Teaching Evaluation:

2019/2020: Overall rating for the course 4.80/5.00, overall rating for the professor 4.80/5.00 (Number of feedbacks, n=5), (Detailed teaching evaluation with comments is available on request)

Macroeconomics

Short Description:

This part of the Macro course is devoted to two big topics: dynamic stochastic general equilibrium (DSGE) modeling and endogenous growth models. In the first part of the course, we will define the concepts of a competitive (decentralized) equilibrium and an optimal (social planner) allocation and establish the connection between them. We will review and continue discussing the Neoclassical growth model, which is the workhorse framework of the most macro models nowadays, as well as some of its extensions and the decentralized equilibrium. The extensions will include uncertainty, monopolistic competition, fiscal policy, open economy etc. (if we have time to cover it). Dynare (as an add on to MatLab/Octave) will be used for some topics. The second part of the course we be devoted to endogenous growth models. We will review growth stylized facts and consider theories explaining them

Teaching Evaluation:

2020/2021: Overall rating for the course 4.48/5.00, overall rating for the professor 4.86/5.00 (Number of feedbacks, n=21), (Detailed teaching evaluation with comments is available on request)

Statistics and Econometrics

Short Description:

This course can be divided into two parts. In the first part we review probability theory and mathematical statistics. The second part is devoted to the introduction to Econometrics.

Teaching Evaluation:

2018/2019: Overall rating for the course 4.74/5.00, overall rating for the professor 4.85/5.00 (Number of feedbacks, n=27), (Detailed teaching evaluation with comments is available on request)

2019/2020: Overall rating for the course 4.82/5.00, overall rating for the professor 4.82/5.00 (Number of feedbacks, n=?, around 20), (Detailed teaching evaluation with comments is available on request)

2020/2021: Overall rating for the course 4.80/5.00, overall rating for the professor 4.87/5.00 (Number of feedbacks, n=15), (Detailed teaching evaluation with comments is available on request)

Advising (Master Students)

Anastasiia Antonova, MA in Economic Analysis 2019, (PhD student, Aix-Marseille University), “MACROECONOMIC EFFECTS OF THE MINIMUM WAGE INCREASES IN AN ECONOMY WITH WAGE UNDERREPORTING” (Best Thesis Award)

Nestor Cheryba, MA in Economic Analysis 2019, (Data Analyst, The Centre for Sustainable Peace and Democratic Development (SeeD)), “FOREIGN ASSISTANCE AND CONSUMPTION INEQUALITY: DOES THE STRUCTURE OF AID MATTER?”

Anna Vakarova, MA in Economic Analysis 2020, (PhD student, University of California Berkeley), “MONETARY POLICY TRANSMISSION MECHANISM IN SMALL OPEN ECONOMY WITH HETEROGENEOUS AGENTS”

Sofiia Dunets, MA in Economic Analysis 2020, (PhD student, George Mason University), “MONETARY POLICY COMMUNICATIONS AND INFLATION EXPECTATIONS”

Bohdan Salahub, MA in Economic Analysis 2020, (PhD student, Indiana Univeristy), “OPTIMAL CURRENCY STRUCTURE OF DEBT FOR A SMALL OPEN ECONOMY”

Oleksii Sulimenko, MA in Business and Financial Economics 2020, (Lead Economist of Money Market Analysis Division at National Bank of Ukraine), “QUANTITATIVE EASING AND STOCK MARKET BUBBLES: EVIDENCE FROM THE US AND JAPAN”

Yulian Borsuk, MA in Economic Analysis 2021, (Roland Berger), “Effectiveness of monetary policy in Ukraine: shedding light on the credit channel”

Princeton University

Assistant in Instruction

2017-2018

Junior Independent Work, Teaching assistant for Professor Iqbal Zaidi, Evaluation 4.89/5.0 (n=9, AI average was 4.54)

ECO 353, International Monetary Economics (undergraduate), Teaching assistant for Professor Iqbal Zaidi, Evaluation 4.5/5.0 (n=6)

2016-2017

Junior Independent Work, Teaching assistant for Professor Iqbal Zaidi, Evaluation 4.38/5.0 (AI average was 4.10)

ECO 353, International Monetary Economics (undergraduate), Teaching assistant for Professor Iqbal Zaidi, Evaluation 4.3/5.0 (n=8)

2015-2016

ECO 324, Law and Economics (undergraduate), Teaching assistant for Professor Thomas C. Leonard, Evaluation 4.1/5.0 (n=8)

ECO 301, Macroeconomics (undergraduate), Teaching assistant for Professor Iqbal Zaidi, Evaluation 4.0/5.0 (n=11)

2014-2015

ECO 301, Macroeconomics (undergraduate), Teaching assistant for Professor Ezra Oberfield, Evaluation 3.6/5.0 (n=9)

ECO 343, Macroeconomic Policy (undergraduate), Teaching assistant for Professor Iqbal Zaidi, Evaluation 4.1/5.0 (n=8)