学部・大学院区分
Undergraduate / Graduate
開・博前
時間割コード
Registration Code
3055020
科目区分
Course Category
専門・プログラム
Program
科目名 【日本語】
Course Title
開発マクロ経済学
科目名 【英語】
Course Title
Development Macroeconomics
コースナンバリングコード
Course Numbering Code
INT2L5502E
担当教員 【日本語】
Instructor
MENDEZ GUERRA Carlos albe ○
担当教員 【英語】
Instructor
MENDEZ GUERRA Carlos alberto ○
単位数
Credits
2
開講期・開講時間帯
Term / Day / Period
春 木曜日 1時限
Spring Thu 1
授業形態
Course style
講義
Lecture


授業の目的 【日本語】
Goals of the Course(JPN)
マクロ経済学は、国と全世界の発展に関する重要な質問への答えを見つけるのに役立ちます。 例:なぜ一部の国は金持ちで、他の国は貧しいのですか? なぜ世界的な経済危機とコストのかかる経済変動があるのですか? 国民の失業とインフレのレベルを決定するものは何ですか? 金融政策と財政政策の役割は何ですか? このコースの全体的な目標は、これら短期的な経済変動(不況や不況など)と長期的な経済成長のフロンティアトピック(生産性や収束など)の両方を研究することです。 特に、いくつかの主力マクロ経済モデルの分析的基盤を紹介した後、開発途上国の文脈におけるそのようなモデルの経験的適用に焦点を当てます。 そしてコースの中心的な内容は、国の政策の変化と経済ショックに対応して経済全体の進化を分析します。
授業の目的 【英語】
Goals of the Course
Macroeconomics helps us find answers to key questions regarding the development of a country and the entire world. For example: Why are some countries rich and others poor? Why are there global economic crises and costly economic fluctuations? What determines the level of national unemployment and inflation? What is the role of monetary and fiscal policy? In this context, the overall goal of this course is to study both short-run economic fluctuations (e.g., recessions and depressions) and frontier topics in long-run economic growth (e.g., productivity and convergence). In particular, after introducing the analytical foundations of some workhorse macroeconomic models, we focus on the empirical application of such models in the context of developing countries. A central component of the course is on how to analyze the evolution of the overall economy in response to changes in national policies and economic shocks.
到達目標 【日本語】
Objectives of the Course(JPN)
このコースの終わりまでに、学生に次のスキルを身に付けることが期待しています。

1.主要な事実を明らかにするために、GDP、失業、インフレなどの主要なマクロ経済変数の短期的な変動と長期的なパターンに関するグローバルデータを処理できます。
2.短期的な経済変動の主なモデルについての理解を深めます。
3.長期的な経済成長に関する最新の文献(調査結果)をいくつか査読し、要約できます。
4.政府の政策が経済変動と経済成長にプラスの影響を与える可能性のある要素を批判的に論述することができます。
5.マクロ経済データ、モデル、および基本的なシミュレーション方法を利用して、開発途上国の短期的な変動と長期的な成長の分析を行えます。
到達目標 【英語】
Objectives of the Course
By the end of this course, students are expected to develop the following proficiencies:

1. Track down key stylized facts and handle global data about the short-run fluctuations and long-run patterns of key macroeconomic variables such as GDP, unemployment, inflation, among others.
2. Develop an understanding of the main models of short-run economic fluctuations.
3. Evaluate and summarize some of the most recent findings in the literature of long-run economic growth.
4. Critically evaluate under what conditions government policy can have a positive effect on short-run economic fluctuations and long-run economic growth.
5. Utilize macroeconomic data, models, and basic simulation methods to prepare an analysis of the short-run fluctuations and long-run growth of developing countries.
授業の内容や構成
Course Content / Plan
The structure of the course consists of 15 sessions divided into 3 broad topics. After each session students are expected to complete short research tasks and problem sets related to the main topics discussed in class.

I ) Macroeconomic Data and Measurement Approaches
01. GDP, unemployment, inflation over time and across countries
02. Decomposing the macroeconomy: Expenditures, Factor Incomes, and Short-run vs Long-run

II ) Models of Short-Run Fluctuations
03. The goods market and the Keynesian cross model
04. The money market and the liquidity preference theory
05. Deriving the IS-LM model
06. Basic policy analysis in the IS-LM model
07. Further policy analysis and comparative statics
08. Short-run output, the new Phillips curve, and the New IS curve
09. Modern monetary policy and the new IS-MP-PC model
10. Dynamic AD-AS model and stabilization policy
11. Midterm evaluation and summary of DSGE models

III ) Frontier Topics in Long-Run Economic Growth
12. Productivity, technology, and misallocation across space and time
13. Advances in economic growth econometrics
14. Lights and shadows of the convergence debate
15. Empirical applications of the basic long-run growth model
履修条件・関連する科目
Course Prerequisites and Related Courses
There is no precondition to take this course.
成績評価の方法と基準
Course Evaluation Method and Criteria
Research tasks and problem sets (30%), midterm evaluation (30%), video presentation (40%). To receive credit for this course, students are expected to achieve an overall evaluation equal or superior to C- or C (where applicable).
教科書・参考書
Textbook/Reference Book
- Barro, Robert and Sala-i-Martin Xavier (2005). Economic Growth, 2nd Edition, MIT Press
- Jones, Charles (2017). Macroeconomics, 4th Edition, Norton.
- Mankiw, Gregory (2019). Macroeconomics. 10th Edition, McMillan
- Romer, David (2011). Advanced Macroeconomics, 4th Edition, McGraw-Hill.
(All these books are available in the library. Students are not required to buy them)
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
- Reading before each class is a necessity. Students should come to class prepared with questions and comments for discussion. A complete list of papers to be covered in this class is available at http://bit.ly/macro777syllabus.
- Students should have access to Nagoya University’s online learning management system NUCT: https://ct.nagoya-u.ac.jp/portal . Announcements, some learning resources, and grades will be posted in NUCT
- Students should create a (free) account in GO FORMATIVE (https://goformative.com/). A class access code will be provided during the first day of class. Most of the learning materials and the midterm exam will be delivered through GO FORMATIVE.
- Students should create a (free) account in FlipGrid (https://flipgrid.com). A class access code will be provided during the first day of class. Most of the homework and problem sets will be delivered through FlipGrid.
- Students should create a (free) account in RStudio Cloud (https://rstudio.cloud). This computing environment will be used for some of the homework and problem sets of the class.
注意事項
Notice for Students
For further inquires about this course, send an email to carlos@gsid.nagoya-u.ac.jp.
使用言語
Language(s) for Instruction & Discussion
English
授業開講形態等
Lecture format, etc.
対⾯・遠隔(同時双方向型)の併⽤。遠隔授業は Teams、Zoom等で⾏う。
※履修登録後に授業形態等に変更がある場合には、NUCTの授業サイトで案内します。
Combination of face-to-face and remote (interactive communication class) classes. Remote classes are conducted via Teams, Zoom, etc.
*Guidance will be posted on NUCT if there are any changes in the class format, etc. after registration.
遠隔授業(オンデマンド型)で行う場合の追加措置
Additional measures for remote class (on-demand class)