Serial Number
34656
Course Number
ECON7202
Course Identifier
323 M6770
No Class
- 3 Credits
Elective
GRADUATE INSTITUTE OF ECONOMICS
GRADUATE INSTITUTE OF ECONOMICS
Elective- HSUAN-LI SU
- View Courses Offered by Instructor
COLLEGE OF SOCIAL SCIENCES DEPARTMENT OF ECONOMICS
shanesu@ntu.edu.tw
- 社會科學院 8樓 853室
02-33668352
- Mon 6, 7, 8
College of Social Sciences Bldg. Rm 601 (社科研601)
Type 3
20 Student Quota
NTU 20
No Specialization Program
- English
- NTU COOL
- Core Capabilities and Curriculum Planning
- NotesThe course is conducted in English。
- Limits on Course Adding / Dropping
Restriction: MA students and beyond or Restriction: Ph. D students
NTU Enrollment Status
Loading...- Course DescriptionThis course teaches computational techniques in the new research frontier, called Distributional Macroeconomics. I will cover heterogeneous agents (HA) models in both discrete time and continuous time. HA modeling is now widely used in macroeconomics, labor, international trade, industrial organization, and finance. This type of models can generate endogenous distributions of income, wealth, or firm-size, and hence offers a framework to study inequality, intergeneration mobility, macro-prudential policy, firm size distributions, firm values, and policy issues in industry organization. This course will teach relevant numerical methods in this field. I hope this course can help more students conduct research in this area.
- Course ObjectiveKnow how to solve for heterogeneous agent models in discrete time and continuous time via computer. Students will learn methodology and relevant techniques to conduct research in this field. Students need to write programming codes every week and submit a research proposal in the middle of May. Hardworking is required.
- Course RequirementPrerequiste: Macroeconomics Theory (I), probability theory, familiar with dynamic programming, and familiar with at least one programming language, like Matlab, Python, C/C++.
- Expected weekly study hours after class
- Office Hour
- Designated Reading
- References待補
- Grading
- Adjustment methods for students
- Course Schedule