Spring 2027

Frontiers in Agricultural Economics 1

Frontiers in Agricultural Economics 1 covers agricultural technology innovation, production measurement, impact evaluation, and empirical methods like randomized trials.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

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Recent recorded grades — Fall 2025: 4.00 GPA, 100.0% A/AB (n=8 letter grades).

What you’ll be able to do

  • Understand the tools used in applied policy analysis.

  • Apply economic concepts to analyze efficiency and equity impacts of policies.

  • Understand the role of uncertainty in analyzing impacts of policy.

  • Understand how political factors may constrain or impact policy choices.

Source: UW Guide

Grade history

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average GPA
letter grades
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Prerequisites

Course map

ECON 709 and 711

AAE 746

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Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2025: 4.00 GPA, 100.0% A/AB (n=8 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Agricultural technology innovation and adoption
  • Production and productivity measurement
  • Impact evaluation
  • Empirical methods for testing microeconomic models

Skills

  • Applied policy analysis tools
  • Analyzing efficiency and equity impacts of policies
  • Empirical methods including surveys, experiments, randomized trials, and instrumental variables

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
B
BC
C
D
F
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Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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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
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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": "c811a4846ebbdbde13e3995328136aac313dddf3b5197a3a0801a94d3a500de6",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}