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 the long-run labor market issues such as (1) technological progress and unemployment; and (2) wage inequality. The goal is to catch up with the frontier of research on the aggregate labor market. |
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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 the long-run labor market issues such as (1) technological progress and unemployment; and (2) wage inequality. The goal is to catch up with the frontier of research on the aggregate labor market. |
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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 growth and inequality; (2) write their own computer codes to replicate existing quantitative results found in professional articles; and (3) design their own research. |
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授業の内容や構成
Course Content / Plan | | 1 Overview: Job Search and Optimal Stopping
2 Worker Flows and Matching
3 The DMP Model
4 Nash Bargaining
5 Strategic Bargaining
6 Labor Market Equilibrium
7 Numerical Analysis
8 Calibration
9 Large Firms and Hours of Work
10 Labor Force Participation
11 Growth and Unemployment
12 Heterogeneous Jobs
13 Labor Share
14 Technological Progress and Unemployment |
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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 macroeconomics I (= advanced income theory I).
Lectures of this course will be delivered in English.
I will assume that the students are familiar with dynamic optimization. |
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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 some results from leading research papers. Many assignments require Maxima or Python. 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. |
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教科書・参考書
Textbook/Reference Book | | There is no textbook you must purchase.
All mandatory reading material (professional articles in leading journals) will be distributed at NUCT. |
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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 Maxima and Python in your computer and learn the languages. |
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注意事項
Notice for Students | | |
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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。 |
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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) | | |
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質問への対応方法
Office hour | | |
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