前期 木曜日 2講時 経済学部第24演習室. 単位数/Credit(s): 2. 担当教員/Instructor: MICHIO SUZUKI. 対象学年/Eligible Participants: 全/ALL. 履修年度: 2024. 科目ナンバリング/Course Numbering: EEM-ECO670E. 使用言語/Language Used in Course: English.
Applied Macroeconomics
鈴木 通雄
This course is designed to provide students with a comprehensive understanding of both the theoretical framework and empirical methodology of productivity growth. Productivity is not only crucial for understanding firm behavior, such as export activity, investment decisions, and market entry and exit strategies, but is also known to be a determinant of long-run economic growth at the aggregate level. Using both macro and micro-level data, students will learn about growth accounting techniques and the estimation of production functions. We will also delve into the quantitative effects of resource reallocation among heterogeneous firms and sectors to assess its contribution to aggregate productivity growth.
The primary goal is to develop students' ability to conduct empirical research in applied macroeconomics, with a particular focus on the measurement and analysis of productivity growth. By the end of the course, students should be capable of critically evaluating current research and contributing original empirical work to the field.
1. Introduction
2. Review of the Solow growth model and growth accounting
3. Growth accounting using industry-level data
4. Identification and estimation of firm/plant-level production function
5. Identification and estimation of firm/plant-level production function
6. Productivity indices
7. Student Presentation (Empirical projects)
8. Student Presentation (Empirical projects)
9. Student Presentation (Empirical projects)
10. Aggregation in efficient economies
11. Aggregation in efficient economies
12. Aggregation in inefficient economies
13. Aggregation in inefficient economies
14. Misallocation
15. Related topics
1. An empirical project (in-class presentation and report submission)
2. A referee report (submission)
See the course page in Google classroom. (Class code:meuscwp)