Spring 2027

Applied Econometric Analysis II

Applied Econometric Analysis II extends standard regression models to cover nonlinear regression, maximum likelihood estimation, panel data, simultaneous equations, discrete choice, and limited dependent variables.

offering recorded4 credits
Recorded instructors · Spring 2027 Dustin Frye

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.57 GPA, 65.2% A/AB (n=23 letter grades); Spring 2025: 3.62 GPA, 82.1% A/AB (n=28 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=9 letter grades).

What you’ll be able to do

  • Extend the standard linear regression models to nonlinear regression models, estimate them, and interpret the results.

  • Estimate models beyond ordinary least squares (OLS), to include Maximum Likelihood (MLE), analysis of discrete choice and limited dependent variables.

  • Provide an overview of the latest techniques being developed using panel data and apply these methods in an independent estimation exercise.

  • Select the experimental or quasi-experimental method appropriate for the analysis at hand.

Source: UW Guide

Grade history

↗
average GPA
letter grades
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AB
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Prerequisites

Course map

A A E 636

AAE 637 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

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.57 GPA, 65.2% A/AB (n=23 letter grades); Spring 2025: 3.62 GPA, 82.1% A/AB (n=28 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=9 letter grades).

Historical instructors & teaching patterns

DUSTIN FRYE is recorded teaching in Spring 2024, Spring 2025, Spring 2026. 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 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
DIS 301Classroom Instruction0 / 500
LEC 001Classroom Instruction0 / 500

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

Recent recorded grades — Spring 2024: 3.57 GPA, 65.2% A/AB (n=23 letter grades); Spring 2025: 3.62 GPA, 82.1% A/AB (n=28 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Nonlinear regression models and maximum likelihood estimation
  • Panel data, simultaneous equations, and linear/nonlinear systems
  • Discrete choice analysis, limited dependent variables, and policy analysis

Skills

  • Estimate and interpret nonlinear regression models
  • Apply maximum likelihood estimation, discrete choice, and limited dependent variable models
  • Analyze simultaneous equations and linear/nonlinear systems
  • Select appropriate experimental or quasi-experimental methods

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

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

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 637 · Spring 2027

Applied Econometric Analysis II

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:108:022815",
    "course_id": "AAE 637",
    "course_uid": "course_d99efe64d194eb09361ae6b5",
    "term_id": "1274",
    "source_course_id": "022815",
    "source_subject_id": "108",
    "title": "Applied Econometric Analysis II",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Spring"
  }
]
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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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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "06d4970c2370902dbe2c4dd809620d8bcb9db5c96708e72a410b296584600dd4",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}