Computational Economics with Python#

Course Details

Institution

New York University

Course

Topics in Economics: Computational Economics (Econ GA 3001_1_003)

Instructors

Alfred Galichon and Thomas Sargent

This website presents material underlying Tom’s Spring 2026 lectures

Course Content#

Part I: Statistics, Information, and Asset Pricing#

This part of Tom’s lectures discusses statistical inference, likelihood ratio processes, Bayesian learning, and asset pricing theory. Topics include:

  • Statistical divergence measures and information theory

  • Likelihood ratio processes and their applications

  • Bayesian inference and learning

  • Asset pricing in finite state models

  • Competitive equilibria with Arrow securities

  • Heterogeneous beliefs and market bubbles

Part II: Overlapping Generations and Advanced Topics#

This part of Tom’s lectures covers overlapping generations models and related general equilibrium models:

  • Overlapping generations models with heterogeneous agents

  • Consumption smoothing under complete and incomplete markets

  • Tax smoothing theory

  • Recursive models of dynamic linear economies

  • Gorman aggregation

Lectures#