Fall 2026

Applied Econometric Analysis I

APPLIED ECONOMETRIC ANALYSIS I introduces the standard linear regression model with an emphasis on application issues.

offering recorded3 credits

Recorded instructors · Fall 2026 Anton Liutin Jeffrey Hadachek

Summary

1 / 7

Historical reviews of Daniel Phaneuf: Workload appears manageable, with success linked to doing review questions, rated as low difficulty.

Grade history

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average GPA
letter grades

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

Graduate/professional standing

AAE 636 used by

“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

Fall 2026

Jeffrey Hadachek

Recent recorded grades — Fall 2025: 3.68 GPA, 92.9% A/AB (n=14 letter grades).

Historical instructors & teaching patterns

Historical reviews for Daniel Phaneuf describe him as nice, gentle, and clear in lectures, aiming to make material easy to understand. He is associated with high quality ratings and advice to complete review questions for success.

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.

JEFFREY HADACHEK is recorded teaching in 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

Fall 2026

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Section	Mode	Enrolled / capacity	Waitlist
LEC 001	Classroom Instruction	43 / 50	0
LAB 301	Classroom Instruction	43 / 50	0

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

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Student experience

the class

Historical reviews for Daniel Phaneuf describe a clear, gentle instructor who makes material easy to understand, with an A achievable by completing review questions.

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

Historical reviews of Daniel Phaneuf: Workload appears manageable, with success linked to doing review questions, rated as low difficulty.

Students found lectures clear and the instructor nice, though this reflects historical experience under Daniel Phaneuf, not current instructor Jeffrey Hadachek.

Topics

Statistical foundation
Functional form specification
Model selection procedures
Handling violations of model assumptions

Skills

Applying the standard linear regression model
Performing statistical hypothesis testing
Conducting model selection and handling assumption violations

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

Grade distribution · % of letter grades

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

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.

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Selected offering source records

AAE 636 · Fall 2026

Applied Econometric Analysis I

Recorded 2026-09-07

Raw records

[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:108:000384",
    "course_id": "AAE 636",
    "course_uid": "course_4f1efcdd8769d4b3432cd23a",
    "term_id": "1272",
    "source_course_id": "000384",
    "source_subject_id": "108",
    "title": "Applied Econometric Analysis I",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]

Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records

nvidia/Qwen3.6-35B-A3B-NVFP4

LLM outputs across runs

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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance

{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "04fddcee1a185d60dc353e3a57d3d56226e42cccc37f9f596f64094065e50161",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}