Serial Number
26675
Course Number
ECON8818
Course Identifier
323 M0910
No Class
- 2 Credits
Compulsory
GRADUATE INSTITUTE OF ECONOMICS / GRADUATE INSTITUTE OF INTERNATIONAL BUSINESS
GRADUATE INSTITUTE OF ECONOMICS
GRADUATE INSTITUTE OF INTERNATIONAL BUSINESS
Compulsory- CHIH-SHENG HSIEH
- View Courses Offered by Instructor
COLLEGE OF SOCIAL SCIENCES DEPARTMENT OF ECONOMICS
cshsieh@ntu.edu.tw
- 社會科學院8樓 826室
886-02 33668326
Website
https://sites.google.com/site/chihshenghsieh/
Intensive Course
Week 1, 2, 3, 4, 5, 6, 7, 8
Mon 9, 10 / Thu 2, 3, 4
社科303
Type 2
60 Student Quota
NTU 60
No Specialization Program
- English
- NTU COOL
- Core Capabilities and Curriculum Planning
- Notes
The course is conducted in English。Intensive courses。
- Limits on Course Adding / Dropping
Restriction: MA students and beyond or Restriction: Ph. D students
NTU Enrollment Status
Enrolled0/60Other Depts0/0Remaining0Registered0- Course DescriptionThis is the first graduate-level Econometrics course for Master/Ph.D. students of Economics and other Business majors.
- Course ObjectiveThe first goal of this course is to deepen our knowledge of the theoretical properties of widely used econometric estimation methods, including the least square and the maximum likelihood. We start this course with the linear regression models and then move to more general nonlinear models. The second goal is to enhance students’ programming skills. There are problem sets for students to use STATA and R (or MATLAB, Python) to implement empirical and simulation exercises.
- Course Requirement
- Expected weekly study hours before and/or after class
- Office Hour
- Designated Reading
- References
- Grading
- NTU has not set an upper limit on the percentage of A+ grades.
- NTU uses a letter grade system for assessment. The grade percentage ranges and the single-subject grade conversion table in the NATIONAL TAIWAN UNIVERSITY Regulations Governing Academic Grading are for reference only. Instructors may adjust the percentage ranges according to the grade definitions. For more information, see the Assessment for Learning Section。
- Adjustment methods for students
- Make-up Class Information
- Course Schedule