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Course title |
Econometric Theory (Ⅰ) A |
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Semester |
113-1 |
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Designated for |
COLLEGE OF SOCIAL SCIENCES GRADUATE INSTITUTE OF ECONOMICS |
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Instructor |
CHIH-SHENG HSIEH |
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Curriculum Number |
ECON8818 |
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Curriculum Identity Number |
323EM0910 |
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Class |
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Credits |
2.0 |
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Full/Half
Yr. |
Half |
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Required/
Elective |
Required |
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Time |
第1,2,3,4,5,6,7,8 週
Monday 9,10(16:30~18:20) Thursday 2,3,4(9:10~12:10) |
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Remarks |
Restriction: MA students and beyond OR Restriction: Ph. D students
The upper limit of the number of students: 60. |
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Course introduction video |
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Table of Core Capabilities and Curriculum Planning |
Table of Core Capabilities and Curriculum Planning |
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Course Syllabus
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Please respect the intellectual property rights of others and do not copy any of the course information without permission
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Course Description |
This is the first graduate-level Econometrics course for Master/Ph.D. students of Economics and other Business majors. |
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Course Objective |
The 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. |
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Course Requirement |
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Student Workload (Expected weekly study hours before and/or after class) |
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Office Hours |
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Designated reading |
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References |
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Grading |
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