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Regular version of the site
Contacts

109028, Moscow,
Pokrovsky Boulevard 11, Rooms: S1029, S1030
Phone: +7 (495) 772-95-90*27172, 27173, 27174

Department Administration
Department Head Alexander Tarasov

PhD, Penn State University

Deputy Head Svetlana Seregina
Department Manager Disa Malbakhova
Senior Administrator Zulikhan Ibragimbeili
Senior Administrator Natalia Baibouzenko
Administrator Marina Yudina
Article
A Theory of Monopolistic Competition with Horizontally Heterogeneous Consumers

Sergey Kokovin, Ozhegova A., Sharapudinov S. et al.

American Economic Journal: Microeconomics. 2024. Vol. 16. No. 2. P. 354-384.

Book chapter
The Lack of Public Health Spending and Economic Growth in Russia: A Regional Aspect

Olga Demidova, Elena Kayasheva, Artem Demyanenko.

In bk.: Eurasian Business and Economics Perspectives: Proceedings of the 38th Eurasia Business and Economics Society Conference. Vol. 25. Springer Publishing Company, 2023. Ch. 13. P. 209-232.

Working paper
The optimal design of elimination tournaments with a superstar

Tabashnikova D., Sandomirskaia M.

Economics. EC. Высшая школа экономики, 2023. No. 263.

Dynamic Stochastic General Equilibrium Models

2023/2024
Academic Year
ENG
Instruction in English
3
ECTS credits
Type:
Mago-Lego
When:
3 module

Instructor

Course Syllabus

Abstract

This course continues the sequence of macroeconomics courses for Master's students. It aims to deepen our understanding of modern tools used in the analysis of macroeconomic processes and policies. A challenge facing policymakers is how to evaluate the net effects of forces operating on different parts of the economy. Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments in an open and transparent manner. DSGE models have also become the standard workhorse models for the analysis of aggregate fluctuations. The primary focus of this course will be on the analysis, solution, calibration, estimation, and extension of DSGE models. We will also emphasize computational methods and apply them to solve DSGE models.