Магистратура
2024/2025
Прикладная макроэкономическая политика
Статус:
Курс по выбору (Экономика и экономическая политика)
Направление:
38.04.01. Экономика
Кто читает:
Департамент теоретической экономики
Где читается:
Факультет экономических наук
Когда читается:
2-й курс, 1 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Киреев Алексей Павлович
Прогр. обучения:
Экономика и экономическая политика
Язык:
английский
Кредиты:
3
Контактные часы:
28
Course Syllabus
Abstract
This course bridges theoretical macroeconomics with practical applications using artificial intelligence. It covers designing a consistent macroeconomic framework, identifying key imbalances, and developing policy measures to address them. Through interaction with an AI counterpart, hands-on exercises, and case studies, students will learn to analyze macroeconomic aggregates of a representative country, and design its fiscal, monetary, financial, exchange rate, trade, and structural policies. This course is particularly beneficial for graduate students seeking careers in the public sector (central banks, finance/economy ministries, development agencies), private sector (investment banks, insurance, consultancies), international organizations (IMF, World Bank, WTO), academia (universities, think tanks, institutes), and other fields (media portals, rating agencies). Students are expected to have solid foundations in macroeconomics and international economics, be fluent in both spoken and written English and Russian and have access to any Generative AI platform.
Learning Objectives
- Upon completing this course, students should be able to analyze the macroeconomic policies of any country, identify key vulnerabilities, and recommend a combination of macroeconomic policies to address them, drawing on best international practices and using AI.
Expected Learning Outcomes
- • Macroeconomic policy design: develop and assess macroeconomic frameworks, identifying key imbalances and formulating policies to address them. • Data analysis and forecasting: use AI for macro-diagnostics and forecasts to design fiscal, monetary, financial, and structural policies. • AI integration: hands-on experience applying AI in real-world macroeconomic diagnostics and policy development.
Course Contents
- From macro-theory to macro-policy
- Real and nominal economy
- Fiscal policy
- Public debt policy
- Monetary policy
- Exchange rate policy
- External sector policy
Interim Assessment
- 2024/2025 1st module0.5 * Class attendance and participation + 0.5 * Final written essay
Bibliography
Recommended Core Bibliography
- Международная микроэкономика : учебник, Киреев, А. П., 2014
- Прикладная макроэкономика : учебник, Киреев, А. П., 2006
Recommended Additional Bibliography
- Financial accounts in the system of national accounts (SNA) and in the current economy : an introduction:[Department of Economics - Rome Tor Vergata University. Master in International Economics Lecture Notes], Fano, D., 2011