Applied Econometric Analysis I
Applied Econometric Analysis I introduces the standard linear regression model, focusing on application issues, hypothesis testing, model selection, and handling assumption violations.
Summary
Past student reviews · Daniel Phaneuf
The course was rated as low difficulty, and students found that completing the review questions was sufficient to earn an A.
What you’ll be able to do
Understand the technical aspects of linear regression and statistical inference.
Critically evaluate estimates of linear models.
Gauge the appropriateness of different model assumptions for different types of applied problems.
Source: UW Guide
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
DANIEL PHANEUF is recorded teaching in Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2022. 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 · Daniel Phaneuf
Past students described Daniel Phaneuf as a gentle instructor who delivered clear lectures and made concepts easy to understand.
Recent recorded grades — Fall 2023: 3.48 GPA, 60.0% A/AB (n=25 letter grades); Fall 2024: 3.55 GPA, 78.1% A/AB (n=32 letter grades); Fall 2025: 3.68 GPA, 92.9% A/AB (n=14 letter grades).
difficulty & workload
Past student reviews · Daniel Phaneuf
The course was rated as low difficulty, and students found that completing the review questions was sufficient to earn an A.
Past student reviews · Daniel Phaneuf
Students appreciated the supportive teaching style and the clarity of the lecture material.
Topics
- Standard linear regression model
- Statistical foundation and hypothesis testing
- Functional form and model selection
- Handling violations of model assumptions
Skills
- Applying standard linear regression models to address application issues.
- Handling violations of linear model assumptions.
- Critically evaluating estimates of linear models.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
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": "d900149777d4776f33afa790dcef189eecf5addfffae2753bf6e73ca0fa0de64",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}