Serial Number
39372
Course Number
ECON2023
Course Identifier
303 20060
- Class 03
- 4 Credits
Compulsory / Elective
DEPARTMENT OF ECONOMICS / Bachelor of Arts in Interdisciplinary Studies in College of Social Sciences
DEPARTMENT OF ECONOMICS
Bachelor of Arts in Interdisciplinary Studies in College of Social Sciences
CompulsoryElective- CHUNG-YING LEE
- View Courses Offered by Instructor
COLLEGE OF SOCIAL SCIENCES DEPARTMENT OF ECONOMICS
chungyinglee@ntu.edu.tw
- Social Sciences 846
02-33668345
Website
https://sites.google.com/site/chungyinglee/
- Schedule Location
- Tue 6, 7
社科501 - Wed 2, 3, 4
社科502
Type 2
88 Student Quota
NTU 88
Specialization Program
Economics in English
- English
- NTU COOL
- Core Capabilities and Curriculum Planning
- NotesThe course is conducted in English。
NTU Enrollment Status
Enrolled0/88Other Depts0/30Remaining0Registered0- Course DescriptionThis course is a comprehensive introduction to the interplay between theory and application in econometrics. The emphasis will be on fostering an intuitive understanding of key concepts, prioritizing practical insights over rigorous arguments. The course will be enriched with real-world applications in economics, ensuring that theoretical knowledge is integrated into the practical landscape of empirical research.
- Course ObjectiveThe primary goal is to equip students with a solid foundation in statistical and econometric theory, empowering them to navigate and contribute effectively to empirical economic research.
- Course RequirementPrerequisite: Statistics (ECON2022)
- Expected weekly study hours after class
- Office Hour
*This office hour requires an appointment - Designated ReadingStock, J. H., & Watson, M. W. (2019). Introduction to Econometrics, Global Edition, 4th Edition. Pearson.
- References1. Angrist, J. D., & Pischke, J. S. (2014). Mastering 'Metrics: The Path from Cause to Effect. Princeton University Press. 2. Diez, D. M., Barr, C. D., & Cetinkaya-Rundel, M. (2019). OpenIntro Statistics: Fourth Edition. PDF available for free at https://leanpub.com/openintro-statistics.
- Grading
30% Quiz
30% Midterm
40% Final
- Adjustment methods for students
- Course Schedule
2/18,2/19Week 1 2/18,2/19 2/25,2/26Week 2 2/25,2/26 3/04,3/05Week 3 3/04,3/05 3/11,3/12Week 4 3/11,3/12 3/18,3/19Week 5 3/18,3/19 3/25,3/26Week 6 3/25,3/26 4/01,4/02Week 7 4/01,4/02 4/08,4/09Week 8 4/08,4/09 4/15,4/16Week 9 4/15,4/16 4/22,4/23Week 10 4/22,4/23 4/29,4/30Week 11 4/29,4/30 5/06,5/07Week 12 5/06,5/07 5/13,5/14Week 13 5/13,5/14 5/20,5/21Week 14 5/20,5/21 5/27,5/28Week 15 5/27,5/28