Lecturer | KUDOH Noritaka, Professor |
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Department | School of Economics / Graduate School of Economics, 2022 Spring |
Recommended for: | Master's program |
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.
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.
This course is designed for second-year graduate students. The goal of this course is to help students understand the frontier of macro-labor economics and find their own research topics.
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.
There is no textbook you must purchase. All mandatory reading material (professional articles in leading journals) will be distributed at NUCT.
Students need to install some (free) computational packages such as Maxima and Python in your computer and learn the languages.
This lecture is provided under Creative Commons Attribution-Non Commercial-ShareAlike 4.0 International.
September 29, 2025