Causal Models in Household and Consumer Research
Recorded 2026-10-14 Spring 2027
Causal Models in Household and Consumer Research
Research course applying modern econometric techniques to empirical consumer research with an emphasis on causal inference.
offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed
Summary
1 / 2
Recent recorded grades — Spring 2025: 3.33 GPA, 83.3% A/AB (n=6 letter grades); Spring 2026: 3.82 GPA, 100.0% A/AB (n=14 letter grades).
What you’ll be able to do
Recognize and describe common methodological approaches used for causal inference in empirical consumer research.
Identify the underlying identification assumptions behind common methodological approaches and describe the key considerations for assessing the validity of these assumptions.
Critically evaluate and discuss the methodological approaches in recent empirical consumer research, including being able to identify potential limitations to being able to draw causal inferences from the findings.
Interpret and synthize findings from empirical consumer research, enabling them to communicate research outcomes effectively and with the appropriate caveats to both academic and non-academic audiences.
Apply modern econometric techniques to analyze observational data in the context of consumer research, with a particular focus on causal inference.
Source: UW Guide
Grade history
↗ average GPA
2020 letter grades
A70.0%70.0%
AB25.0%25.0%
B0.0%0.0%
BC0.0%0.0%
C0.0%0.0%
D0.0%0.0%
F5.0%5.0%
All recorded terms · compare terms & instructors
Prerequisites
Course mapCNSR SCI 768
CNSRSCI 778
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
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 |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 18 | 0 |
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
Recent recorded grades — Spring 2025: 3.33 GPA, 83.3% A/AB (n=6 letter grades); Spring 2026: 3.82 GPA, 100.0% A/AB (n=14 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Modern econometric techniques
- Causal inference
- Empirical consumer research
Skills
- Recognize and describe methodological approaches for causal inference
- Identify identification assumptions and assess their validity
- Critically evaluate methodological approaches in empirical research
- Interpret and synthesize research findings for communication
- Apply econometric techniques to analyze observational data
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
A64.3%64.3%
AB35.7%35.7%
B0.0%0.0%
BC0.0%0.0%
C0.0%0.0%
D0.0%0.0%
F0.0%0.0%
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.
Selected offering source records
Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:271:026749",
"course_id": "CNSRSCI 778",
"course_uid": "course_489f580ee5a771fe60a591f8",
"term_id": "1274",
"source_course_id": "026749",
"source_subject_id": "271",
"title": "Causal Models in Household and Consumer Research",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
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Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesDataset & model
View the dataset on Hugging Face Recorded 2026-10-14
Model outputs & technical records
Qwen/Qwen3.8-27B
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": "6859bcb337c0922f6688e7a6fa0bdc4ab0900dc954866c5a981abb60081cc53f",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}