Holiday
TSMC台積406 R6R7R8
This course introduces experimental methods for causal inference that are widely used in a broad array of domains such as marketing and information systems. The focus of the course is on delivering a breadth of substantive topics and methodological considerations that emerge in utilizing the identification-oriented methods. Throughout the course, we will discuss topics that are related to methods such as randomized controlled trials (RCT), difference-in-differences (DiD), matching methods such as propensity score matching (PSM) and coarsened exact matching (CEM), and more advanced topics such as regression discontinuity designs (RDD) and synthetic control methods (SCM). To foster learning experiences, students will review relevant research papers on each topic and be asked to actively engage in presentations and discussions about the nature of causation and alternative means of inferring causal relationships. Read more in the syllabus attached.
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
Average GPA 4.11
Std. Deviation 0.19
Mid-March to late April will be online classes, can sonsult Prof. Yoo for an exact date.
博士班優先,第3次選課起開放全校修習
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