Course profile
Economic forecasting
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Course summary
ECON3283 covers basic time series models like ARMA and GARCH, with a focus on practical applications and some theoretical depth. It's suitable for students interested in economic forecasting but may be challenging for those without strong math backgrounds. The course has moderate workload and is graded generously for assignments and the group project, though the final exam can be harsh.
Grading is generous for assignments and the group project, but the final exam can be harsh.
Moderate workload with some repetitive Excel calculations in assignments. The final closely mirrors past papers.
Assessment includes assignments, midterms, a final exam, and a group project (20% of grade).
The professor is engaging but can be challenging for students without strong math backgrounds. Prof. Tse is approachable and provides Excel sheets for estimation.
Learn a programming language like STATA, R, or Python to handle the group project more effectively. Practice past papers for the final exam as they closely resemble it.
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