学部・大学院区分
Undergraduate / Graduate
経・博前
時間割コード
Registration Code
2411209
科目区分
Course Category
科目名 【日本語】
Course Title
労働経済A
科目名 【英語】
Course Title
Labor Economics A
コースナンバリングコード
Course Numbering Code
ECOEP6301B
担当教員 【日本語】
Instructor
工藤 教孝 ○
担当教員 【英語】
Instructor
KUDOH Noritaka ○
担当教員所属【日本語】
instructor's belongs
担当教員所属【英語】
instructor's belongs
単位数
Credits
2
配当年次
dividend Yearly
開講期・開講時間帯
Term / Day / Period
春 木曜日 3時限
Spring Thu 3
授業形態
Course style
講義
Lecture


授業の目的 【日本語】
Goals of the Course(JPN)
This course is designed for 2nd year graduate students to build their research ability in the field of macro-labor economics. The course focuses on search-matching frictions in the aggregate labor market. The goal is to catch up with the frontier of business cycle research.
授業の目的 【英語】
Goals of the Course
This course is designed for 2nd year graduate students to build their research ability in the field of macro-labor economics. The course focuses on search-matching frictions in the aggregate labor market. The goal is to catch up with the frontier of business cycle research.
到達目標 【日本語】
Objectives of the Course(JPN)
After this course, students should be able to (1) understand the frontier of research in the field of labor market fluctuations over the business cycle; (2) write their own computer codes to replicate existing quantitative results found in professional articles; and (3) develop their own research.
授業の内容や構成
Course Content / Plan
1 Review of Dynamic Optimization
2 Job Search and Optimal Stopping
3 Basic DMP Model
4 Bargaining Theory
5 Extensions
6 Large Firms
7 Business Cycle Facts
8 Business Cycle Facts
9 Unemployment Volatility Puzzle
10 Unemployment Volatility Puzzle
11 Hours of Work over the Business Cycle
12 Hours of Work over the Business Cycle
13 Labor Market Participation
14 DSGE with Search Frictions
15 DSGE with Search Frictions
履修条件・関連する科目
Course Prerequisites and Related Courses
No prerequisite, but it is highly recommended that you take advanced income theory I.
Lectures of this course will be delivered in English.
I will assume that the students are familiar with dynamic optimization.
成績評価の方法と基準
Course Evaluation Method and Criteria
There will be 5 or more assignments, in which students are asked to replicate (empirical and theoretical) results in some leading research papers. The course grade will be determined by the average of the grades of all assignments. To pass the course, you must earn C (which is about 60 out of 100) or above for each assignment.
教科書・参考書
Textbook/Reference Book
There is no textbook you must purchase.
A highly recommended reference book is, Christopher A. Pissarides, Equilibrium Unemployment Theory, 2nd edition, MIT press, 2000.
All mandatory reading material (professional articles in leading journals) will be distributed at NUCT.
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
Students need to install some (free) computational packages such as Octave, dynare, RStudio (or R), Python, and Maxima in your computer. Windows computers are preferred, but not necessary. In any case, installation of these packages may take time and effort.
注意事項
Notice for Students
授業開講形態等
Lecture format, etc.
教育レベルが1以下の場合、原則として対⾯授業とする。ただし、対⾯授業を希望しない学生には遠隔(同時双⽅向型またはオンデマンド型)でも受講できるよう、「対面・遠隔(同時双⽅向型またはオンデマンド型)の併⽤」とする。遠隔はNUCT等で行う。なお、オンデマンド型の場合、教員への質問および授業に関する受講学⽣間の意⾒交換は、NUCT機能「メッセージ」により⾏うこと。
※履修登録後(本通知以後)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。
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)