Econometrics I
Econometrics I covers econometric methods, theory, and applications using matrix algebra, focusing on linear regression, least-squares estimation, inference, and hypothesis testing.
Summary
Past student reviews · Xiaoxia Shi
The difficulty was moderate, with significant emphasis on understanding detailed proofs.
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
KENNETH WEST is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
XIAOXIA SHI is recorded teaching in Fall 2014, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Past student reviews · Xiaoxia Shi
Students found the course challenging but appreciated the instructor's patience in explaining proof details.
Recent recorded grades — Spring 2025: 3.60 GPA, 80.0% A/AB (n=10 letter grades); Fall 2025: 3.49 GPA, 67.1% A/AB (n=73 letter grades); Spring 2026: 3.50 GPA, 62.5% A/AB (n=8 letter grades).
difficulty & workload
Past student reviews · Xiaoxia Shi
The difficulty was moderate, with significant emphasis on understanding detailed proofs.
Past student reviews · Xiaoxia Shi
The instructor held office hours twice a week and responded to emails quickly, making them accessible outside of class.
Topics
- Econometric methods, theory, and applications
- Matrix algebra
- Linear regression, least-squares estimation, inference, and hypothesis testing
Skills
- Linear regression, least-squares estimation, inference, and hypothesis testing
- Application of matrix algebra to econometric problems
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "3d997344fd6485b014d677f6b73402deddcdb77c9c545821eaaed739ed18fc13",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}