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syllabus.yaml
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code: ECBS 6001
title: Advanced Macroeconomics
instructors:
- name: Zsófia L. Bárány
bio: Zsófia Bárány is associate professor at CEU. She is a macroeconomist interested in economic growth, technological change and its impact on the labor market. A large part of her work aims at understanding the driving forces behind long-run trends in the evolution of labor market outcomes, such as inequality, or job polarization, taking into account individual heterogeneity.
email: baranyzs@ceu.edu
office: ""
- name: Miklós Koren
bio: Miklós Koren is professor of economics at CEU, senior research fellow at the Institute of Economics, and research fellow of the Centre for Economic Policy Research. His research focuses on how talent and technology jointly determine business success. Professor Koren has more than two decades of experience with microeconometrics and quantitative macro modeling. He is a certified Carpentries Instructor.
email: korenm@ceu.edu
office: B510
credits:
us: 4
ects: 8
module:
term: Fall and Winter
level:
- PhD
prerequisites:
- Master's level Macroeconomics
- This is a compulsory, core class for first-year PhD in Economics students and a compulsory class for second-year MA in Economics, Data and Policy students with a Research specialization.
description:
content: "The course introduces two building blocks of macroeconomic modeling: forward-looking dynamic models and general equilibrium with heterogeneous agents. These tools are applied to problems of economic growth, labor market search, and industry dynamics. Quantitative model solutions are also illustrated using the Julia programming language."
relevance: Dynamics and equilibrium are two building blocks of macroeconomic thinking. These approaches are essential for studying a wide range of problems in macroeconomics, labor economics, industrial organization, economic geography, international trade.
learning_outcomes:
- Analyze growth models including the Solow and Ramsey frameworks.
- Evaluate endogenous growth theories and their implications.
- Apply search and matching models to labor market analysis.
- Analyze industry equilibrium with heterogeneous firms.
- Understand the importance of input-output linkages in macroeconomic contexts.
- Solve dynamic programming problems and ordinary differential equations using Julia.
learning_areas:
- type: Critical thinking
outcomes:
- type: Quantitative reasoning
outcomes:
- type: Technology skills
outcomes:
- type: Interpersonal communication skills
outcomes:
- type: Management knowledge and skills
outcomes:
- type: Cultural sensitivity and diversity
outcomes:
- type: Ethics and social responsibility
outcomes:
readings:
required:
recommended:
teaching_methods:
- Conceptual lectures.
- Student presentations.
- Live coding together with instructor.
- Group discussion.
assessments:
- description: Weekly take-home assignments
weight: 60
- description: End-of-year exam
weight: 40
technical_requirements:
- Personal laptop computer with administrative privileges to install open source software.
- "Operating system: Windows 10+ or Mac OS X 10.8+, or Linux 2.6.18+"
- Ability to install Julia 1.10, https://julialang.org/downloads/
- Internet access.
outline:
- session: Weeks 1-2
topic: Growth facts, the Solow and the Ramsey model
reading:
- session: Weeks 3-5
topic: Overlapping generations model and introduction to dynamic programming
reading:
- session: Weeks 6-10
topic: Linear algebra, dynamic programming and ODEs in Julia
reading:
- session: Weeks 11-12
topic: Endogenous growth
reading:
- session: Weeks 13-16
topic: Search and matching models of the labor market
reading:
- session: Weeks 17-18
topic: Industry equilibrium models of heterogeneous firms
reading:
- session: Weeks 19-20
topic: The Hopenhayn model of industry dynamics
reading:
- session: Weeks 21-22
topic: Solving industry dynamics models in Julia
reading:
- session: Weeks 23-24
topic: Input-output linkages
reading: