Fall 2026

Economic Forecasting

ECON 460 introduces econometric time series analysis, forecasting methods, and forecast evaluation with hands-on data analysis.

offering recorded3–4 credits
Recorded instructors · Fall 2026 Kenneth West3.1/5Xuexin Li

Summary

1 / 7

Historical reviews of Bruce Hansen: A reviewer reports that Professor Hansen grades leniently and gives easy exams, while another notes applied work with time-series data.

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 400, 410, or graduate/professional standing

ECON 460

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: 2.58/5 from 19 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.

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

No course-specific feedback yet.

No course-specific feedback yet.

Historical instructors & teaching patterns

Historical reviews of Bruce Hansen: Bruce Hansen is described as an amazing and knowledgeable instructor who explains material well at the undergraduate level. Reviewers highlight his lenient grading, easy exams, and the practical value of the course for resumes and marketable skills.

BRUCE HANSEN is recorded teaching in Spring 2015, Spring 2017, Fall 2018, Fall 2020. 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
LEC 001Classroom Instruction64 / 720
DIS 301Classroom Instruction22 / 240
DIS 302Classroom Instruction24 / 240
DIS 303Classroom Instruction18 / 240

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

Historical reviews for Bruce Hansen describe the course as highly useful for resumes and marketable skills, featuring applied work in time-series data.

Recent recorded grades — Spring 2022: 3.52 GPA, 75.0% A/AB (n=40 letter grades); Fall 2024: 3.61 GPA, 84.7% A/AB (n=72 letter grades); Fall 2025: 3.63 GPA, 82.1% A/AB (n=39 letter grades).

difficulty & workload

Historical reviews of Bruce Hansen: A reviewer reports that Professor Hansen grades leniently and gives easy exams, while another notes applied work with time-series data.

Historical reviews of Bruce Hansen: Reviewers found the material rewarding and useful, with Hansen explaining complex concepts well at the undergraduate level.

Topics

  • Econometric time series analysis.
  • Forecasting methods.
  • Forecast evaluation.
  • Theoretical, methodological, and applied topics.

Skills

  • Econometric time series analysis and forecasting methods.
  • Forecast evaluation.
  • Hands-on data analysis.

Grades

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

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1320 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 460 · Fall 2026

Economic Forecasting

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": "1272:296:024199",
    "course_id": "ECON 460",
    "course_uid": "course_d621999325fc506ebe39b22b",
    "term_id": "1272",
    "source_course_id": "024199",
    "source_subject_id": "296",
    "title": "Economic Forecasting",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Fall, Spring"
  }
]
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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": "1e1b668527230a1f6c65a019371213d3b89da2ad7ee6dcdd7b94bd9d0ea1730f",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}