Fall 2026

Behavioral Economics

Behavioral Economics examines departures from rational norms using psychological enrichments of the standard model.

offering recorded3–4 credits
Recorded instructors · Fall 2026 Matt Friedman4.2/5Famy Xia

Summary

1 / 7

The course requires at least five hours weekly for dense reading, which students find difficult to keep up with. Homework is considered easy, but the final exam focuses heavily on definitions rather than calculations.

Grade history

average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

(ECON 301 or 311) and ECON 310; or graduate/professional standing

ECON 455

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 4.74/5 from 23 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 4.8/5 raw quality · 3.4/5 difficulty · 13 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Matt Friedman is described as entertaining and approachable, with students finding the material relevant to daily life. Reviewers note scattered lectures and a heavy reading load, though the final exam focuses on definitions.

Recent recorded grades — Spring 2025: 3.04 GPA, 39.5% A/AB (n=81 letter grades); Fall 2025: 2.97 GPA, 34.0% A/AB (n=94 letter grades); Spring 2026: 3.19 GPA, 44.8% A/AB (n=87 letter grades).

No course-specific feedback yet.

Historical instructors & teaching patterns

Historical reviews of Matthew Friedman: Matt Friedman is described as engaging and effective, with students finding his content fun and the class highly recommended. Recent feedback highlights his clear instruction and the ease of assessments, noting that quizzes and tests replicate practice problems. One review notes quizzes are hard without reading and suggests asking friends for homework.

ANDREA WILSON is recorded teaching in Spring 2015, Fall 2015, Spring 2016. Recorded history may be incomplete and does not establish a future schedule.

GWYN PAULEY is recorded teaching in Fall 2017, Spring 2018, Fall 2019, Spring 2020, Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

MATTHEW FRIEDMAN is recorded teaching in Fall 2018, Spring 2019, Fall 2020, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
DIS 301Classroom Instruction23 / 242
LEC 001Classroom Instruction95 / 967
DIS 302Classroom Instruction25 / 241
DIS 303Classroom Instruction24 / 242
DIS 304Classroom Instruction23 / 242

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

Meeting source records

Student experience

the class

Matt Friedman is described as entertaining and approachable, with students finding the course topics relevant to daily life. Conversely, some reviewers find his lectures scattered and note that heavy reading assignments rarely appear on exams.

Recent recorded grades — Spring 2025: 3.04 GPA, 39.5% A/AB (n=81 letter grades); Fall 2025: 2.97 GPA, 34.0% A/AB (n=94 letter grades); Spring 2026: 3.19 GPA, 44.8% A/AB (n=87 letter grades).

difficulty & workload

The course requires at least five hours weekly for dense reading, which students find difficult to keep up with. Homework is considered easy, but the final exam focuses heavily on definitions rather than calculations.

Participation points significantly impact grades, making regular attendance important. While some students appreciate the professor's approachability, others find weekly quizzes difficult despite heavy grading curves.

Topics

  • Paradox of choice
  • Loss aversion
  • Time inconsistent preferences
  • Social preferences

Skills

  • Analyzing empirical evidence of decision-making deviations
  • Applying psychological enrichments to rational actor models

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.18 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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.

Selected offering source records
ECON 455 · Fall 2026

Behavioral Economics

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": "1272:296:024198",
    "course_id": "ECON 455",
    "course_uid": "course_7bd7653c564300d23aa3d0da",
    "term_id": "1272",
    "source_course_id": "024198",
    "source_subject_id": "296",
    "title": "Behavioral Economics",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "859f84b94a93dfdfa71ea53052efaae5f05bd93fccd2d65d2e01d2759a352e10",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}