Holiday
TSMC台積103 WnW5W6
This course is the second part of the introduction to econometrics sequence. The first part of the sequence introduces the basic idea of regression. OLS will be a nice estimation method under some "classical" assumptions. ba<x>sed on the knowledge of classical linear regression model, we would explore different toptics in five modules. The five modules include the statistics review, experiment (namely, RCT), panel data, instrumental variables, and DID & RDD. You are expected to have a firm grasp of the types of empirical research designs that can lead to convincing analysis and be comfortable working with actual data sets.
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 Percentage 83.84
Std. Deviation 9.47
【上學期原修計量經濟學一ECON303300(馮炳萱老師)同學選課優先,第3次選課起開放】
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