Natural Resource Economics
Natural Resource Economics covers economic concepts and tools for managing natural resources, including pricing, cost-benefit analysis, externalities, and policy issues.
Summary
Past student reviews · Dominic Parker
The course featured small quizzes and bi-weekly assessments to keep students on top of the material. Exams were described as fair, and the overall difficulty was rated as moderate.
What you’ll be able to do
Employ appropriate concepts in order to correctly define the economic benefits accrued from different natural resources.
Apply appropriate methodologies and tools to demonstrate the conditions under which the benefits are likely to be captured or dissipated by real world actors.
Explain the social, economic, and/or environmental dimensions of the sustainability challenges of maintaining healthy supplies of forests, biodiversity, fish and wildlife, and freshwater.
Analyze the causes of and solutions for the sustainability challenges of maintaining healthy supplies of forests, biodiversity, fish and wildlife, and freshwater.
Apply academic principles of natural resource economics to a real-world policy problem.
Source: UW Guide 1· UW Guide 2· UW Guide 3
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapProfessors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
DOMINIC PARKER is recorded teaching in Spring 2013, Spring 2014, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2022, Fall 2022, 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 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Past student reviews · Dominic Parker
Professor Parker was described as passionate and clear, teaching at a manageable pace with interesting lectures. Several students cited this as one of their favorite classes at the university.
Recent recorded grades — Spring 2024: 3.39 GPA, 68.4% A/AB (n=19 letter grades); Spring 2025: 3.46 GPA, 69.2% A/AB (n=26 letter grades); Spring 2026: 3.48 GPA, 70.0% A/AB (n=20 letter grades).
difficulty & workload
Past student reviews · Dominic Parker
The course featured small quizzes and bi-weekly assessments to keep students on top of the material. Exams were described as fair, and the overall difficulty was rated as moderate.
Past student reviews · Dominic Parker
Professor Parker was a kind grader who reduced performance pressure, allowing students to focus on learning. He explained topics thoroughly in various ways to accommodate different learning styles and kept classes engaging.
Topics
- Pricing principles, cost-benefit analysis, equity, externalities, economic rent, renewable and nonrenewable resources, and resource policy issues.
- Sustainability challenges of maintaining healthy supplies of forests, biodiversity, fish and wildlife, and freshwater.
Skills
- Define economic benefits accrued from different natural resources using appropriate concepts.
- Apply methodologies and tools to show when benefits are captured or dissipated by real-world actors.
- Apply natural resource economics principles to real-world policy problems.
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
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
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
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Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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