Spring 2027

The Economics of Growing-up and Getting Old

The Economics of Growing-Up and Getting Old uses economic models to investigate life cycle decisions including schooling, marriage, divorce, fertility, and retirement.

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Summary

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Recent recorded grades — Fall 2019: 3.52 GPA, 68.2% A/AB (n=22 letter grades).

What you’ll be able to do

  • Understand important empirical problems in social science (such as correlation vs causation, endogeneity, omitted variable bias) and tools for overcoming them

  • Understand important theoretical models of human behavior (such as game theory, signaling models, hyperbolic discounting) and how to apply them to particular environments

  • Understand important models of particular "life cycle" decisions (health, schooling, marrying, divorce, fertility)

Source: UW Guide

Grade history

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average GPA
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Prerequisites

Course map

ECON 310

ECON 355

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Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2019: 3.52 GPA, 68.2% A/AB (n=22 letter grades).

difficulty & workload

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Topics

  • Life cycle stages: early childhood, schooling, adolescence, marriage/divorce, fertility, retirement.
  • Theoretical models of human behavior such as game theory, signaling, and hyperbolic discounting.
  • Empirical problems in social science including correlation vs causation and endogeneity.

Skills

  • Apply economic models to life cycle decisions and address empirical problems like endogeneity.

Grades

Latest available · Fall 2019— 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
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Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

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