Course profile

ECON3284

Causal Inference

Faculty of Business and Economics

Course description not available yet.

Credits6
Reviews0
SummaryAvailable

AI-generated

Course summary

Mixed

ECON3284 is highly recommended for those interested in pursuing an Econ PhD or academic research, with engaging lectures focusing on causal inference through classic papers. Grading can be generous but varies from semester to semester; workload includes five assignments and a final exam.

Grading

Grading can vary: some semesters are generous, while others are harsher, depending on the professor's discretion.

Workload

Moderate to heavy; includes five assignments (one every two weeks) and a final exam. Some students find it challenging due to coding requirements in R.

Assessments

Five assignments, one final exam, occasional group work, and presentations.

Teaching

Generally positive teaching experiences with an engaging professor who provides clear explanations; some mention of difficulty for those without prior experience in R.

Tips

Take the course if you are interested in econometrics or pursuing academic research. Be prepared to put effort into coding assignments and group projects.

generous gradingheavy workloadengaging lectures

AI-generated AI-generated summary based on student reviews, using Qwen 2.5.

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