Quantitative Economics with Python

This website presents a set of lectures on quantitative economic modeling, designed and written by Thomas J. Sargent and John Stachurski.

News

QuantEcon is moving to the Jupyter Book build system for all of its projects. We are a founding member of the Executable Books Project, an international collaboration to build open source tools that facilitate publishing using the Jupyter ecosystem. Please send feedback to contact@quantecon.org

For an overview of the series, see this page

Tools and Techniques

• 1. Geometric Series for Elementary Economics
• 2. Multivariate Hypergeometric Distribution
• 3. Modeling COVID 19
• 4. Linear Algebra
• 5. Complex Numbers and Trigonometry
• 6. LLN and CLT
• 7. Heavy-Tailed Distributions
• 8. Multivariate Normal Distribution
• 9. Univariate Time Series with Matrix Algebra

Introduction to Dynamics

• 10. Dynamics in One Dimension
• 11. AR1 Processes
• 12. Finite Markov Chains
• 13. Inventory Dynamics
• 14. Linear State Space Models
• 15. Application: The Samuelson Multiplier-Accelerator
• 16. Kesten Processes and Firm Dynamics
• 17. Wealth Distribution Dynamics
• 18. A First Look at the Kalman Filter
• 19. Shortest Paths
• 20. Cass-Koopmans Planning Problem
• 21. Cass-Koopmans Competitive Equilibrium

Search

• 22. Job Search I: The McCall Search Model
• 23. Job Search II: Search and Separation
• 24. Job Search III: Fitted Value Function Iteration
• 25. Job Search IV: Correlated Wage Offers
• 26. Job Search V: Modeling Career Choice
• 27. Job Search VI: On-the-Job Search

Consumption, Savings and Growth

• 28. Cake Eating I: Introduction to Optimal Saving
• 29. Cake Eating II: Numerical Methods
• 30. Optimal Growth I: The Stochastic Optimal Growth Model
• 31. Optimal Growth II: Accelerating the Code with Numba
• 32. Optimal Growth III: Time Iteration
• 33. Optimal Growth IV: The Endogenous Grid Method
• 34. The Income Fluctuation Problem I: Basic Model
• 35. The Income Fluctuation Problem II: Stochastic Returns on Assets

Information

• 36. Job Search VII: Search with Learning
• 37. Likelihood Ratio Processes
• 38. A Problem that Stumped Milton Friedman
• 39. Exchangeability and Bayesian Updating
• 40. Likelihood Ratio Processes and Bayesian Learning
• 41. Bayesian versus Frequentist Decision Rules

LQ Control

• 42. LQ Control: Foundations
• 43. The Permanent Income Model
• 44. Permanent Income II: LQ Techniques
• 45. Production Smoothing via Inventories

Multiple Agent Models

• 46. Schelling’s Segregation Model
• 47. A Lake Model of Employment and Unemployment
• 48. Rational Expectations Equilibrium
• 49. Stability in Linear Rational Expectations Models
• 50. Markov Perfect Equilibrium
• 51. Uncertainty Traps
• 52. The Aiyagari Model

Asset Pricing and Finance

• 53. Asset Pricing: Finite State Models
• 54. Competitive equilibria with Arrow securities
• 55. Heterogeneous Beliefs and Bubbles

Data and Empirics

• 56. Pandas for Panel Data
• 57. Linear Regression in Python
• 58. Maximum Likelihood Estimation

Other

• 59. Troubleshooting
• 60. References
• 61. Execution Statistics

Previous website

While this new site will receive all future updates, you may still view the old site here for the next month.