Spring 2027

Applied Econometric Analysis III

Applied Econometric Analysis III examines contemporary econometric techniques for empirical work in development, environment, natural resources, and agricultural economics.

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

Summary

1 / 3

Recent recorded grades — Spring 2020: 3.50 GPA, 75.0% A/AB (n=12 letter grades); Fall 2022: 3.62 GPA, 95.8% A/AB (n=24 letter grades); Fall 2024: 3.86 GPA, 100.0% A/AB (n=18 letter grades).

What you’ll be able to do

  • Explain and assess the concepts of causal inference and identification in econometric analyses.

  • Articulate the necessary assumptions underpinning various applied identification strategies.

  • Assess and critique specific applications of various identification strategies.

  • Conduct and interpret econometric analyses applying various identification strategies using statistical software.

  • Summarize ongoing debates about the validity of empirical research in economics including issues of internal validity, external validity, and replicability.

Source: UW Guide

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 709 and 710) or (A A E 636 and 637)

AAE 737

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Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Spring 2020: 3.50 GPA, 75.0% A/AB (n=12 letter grades); Fall 2022: 3.62 GPA, 95.8% A/AB (n=24 letter grades); Fall 2024: 3.86 GPA, 100.0% A/AB (n=18 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Contemporary econometric techniques in development, environment, natural resources, and agricultural economics.
  • Applied models reviewed using past and current research examples.
  • Facets of empirical research in economics.

Skills

  • Explain causal inference and articulate assumptions for applied identification strategies.
  • Critique applications of identification strategies and summarize debates on empirical validity.
  • Conduct and interpret econometric analyses using statistical software.

Grades

Latest available · Fall 2024— not enough history to project Spring 2027.

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 2024

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

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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": "86c816423dc2776fae906570921ebb91c6ac6149a8881b435abceb6fb82d7cd3",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}