SemesterSpring Semester, 2018
DepartmentMA Program of Economics, First Year PhD Program of Economics, First Year MA Program of Economics, Second Year PhD Program of Economics, Second Year
Course NameCausal inference and Data Science in Economics
InstructorYANG TZU TING
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule

 


































































































































































週次



Week



課程主題



Topic



課程內容與指定閱讀



Content and Reading Assignment



教學活動與作業



Teaching Activities and Homework



學習投入時間



Student workload expectation



課堂講授



In-class Hours



課程前後



Outside-of-class Hours



1



Overview and Causal inferences



Mostly Harmless Econometrics



 



3



3



2



Randomized Experiments / Field Experiments



Mostly Harmless Econometrics



 



3



3



3



Randomized Experiments / Field Experiments



Mostly Harmless Econometrics



Homework 1



3



3



4



Randomized Experiments / Field Experiments



Mostly Harmless Econometrics



 



3



3



5



Causal Inference and Regression



Mostly Harmless Econometrics



 



3



3



6



Matching Methods



Mostly Harmless Econometrics



 



3



3



7



Matching Methods



Lecture Notes



 



3



3



8



Panel Data and Difference-in-Differences Methods



 



Lecture Notes



 



3



3



9



Panel Data and Difference-in-Differences Methods



 



Lecture Notes



 



3



3



10



Synthetic Controls



 



Lecture Notes



Homework 2



3



3



11



Synthetic Controls



 



Lecture Notes



 



3



3



12



Regression Discontinuity (Kink) Design



Lecture Notes



 



3



3



13



Regression Discontinuity (Kink) Design



Lecture Notes



 



3



3



14



Regression Discontinuity (Kink) Design



Lecture Notes



 



3



3



15



Bunching Method



 



Lecture Notes



 



3



3



16



Text Mining



Lecture Notes



 



3



3



17



GIS data



Lecture Notes



Term paper



3



3



18



Machine Learning



Lecture Notes



 



3



3




 


Teaching Methods
Teaching Assistant

TBA


Requirement/Grading

Term paper (70%): milestones throughout the term



Referee Report (10%): comment on your classmate's term paper



Homework(20%)


Textbook & Reference

Angrist and Pischke, Mostly Harmless Econometrics



Angrist and Pischke, Mastering Metrics: The Path from Cause to Effect


Urls about Course
https://causaldatalab.wordpress.com/
Attachment