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Course title |
Labor Economics (Ⅱ) |
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Semester |
113-1 |
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Designated for |
COLLEGE OF SOCIAL SCIENCES DEPARTMENT OF ECONOMICS |
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Instructor |
KUAN-MING CHEN |
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Curriculum Number |
ECON5212 |
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Curriculum Identity Number |
323EU2170 |
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Class |
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Credits |
3.0 |
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Full/Half
Yr. |
Half |
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Required/
Elective |
Elective |
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Time |
Tuesday 7(14:20~15:10) Saturday C,D(20:15~22:00) |
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Remarks |
Restriction: juniors and beyond OR Restriction: MA students and beyond OR Restriction: Ph. D students
The upper limit of the number of students: 48. |
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Course
Website |
https://drive.google.com/file/d/1fZIszz_84-Vg7VIVRzWulZZyOwArvYyC/view?usp=drive_link |
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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 |
Check the following website for the detailed syllabus.
https://sites.google.com/view/kmchen/teaching?authuser=0 |
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Course Objective |
This course is the second part of a sequence in Labor Economics. In the previous semester, the focus was on causal inference and basic topics in labor economics, with significant overlap with econometrics. This semester, we shift our attention to dynamic methods and their applications in labor economics. In the next semester, the course will cover topics related to matching and family economics. The goal of this semester's course is to equip you with structural and dynamic models, enabling you to build, solve, and estimate these models effectively. Additionally, you will learn how these methods can be applied within the broader field of economics. |
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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 |
Appointment required. |
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Designated reading |
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References |
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Grading |
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Adjustment methods for students |
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Teaching methods |
Assisted by recording, Assisted by video, Provide students with flexible ways of attending courses |
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Assignment submission methods |
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Exam methods |
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Others |
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