A First Course in Quantitative Economics with Python

This lecture series provides an introduction to quantitative economics using Python.

Introduction

• 1. About These Lectures

Economic Data

• 2. Long-Run Growth
• 3. Business Cycles
• 4. Price Level Histories
• 5. Income and Wealth Inequality

Probability and Distributions

• 6. Probability Distributions
• 7. Observed Distributions
• 8. Fitting Distributions to Data
• 9. Bivariate Distributions
• 10. LLN and CLT
• 11. Heavy-Tailed Distributions

Estimation

• 12. Simple Linear Regression Model
• 13. Maximum Likelihood Estimation
• 14. Estimating Wealth Tax Revenue
• 15. Introduction to Bayesian Methods

Foundations

• 16. Introduction to Supply and Demand
• 17. Linear Equations and Matrix Algebra
• 18. Geometric Series for Elementary Economics

Linear Dynamics: Finite Horizons

• 19. Present Values
• 20. Equalizing Difference Model
• 21. Consumption Smoothing
• 22. Tax Smoothing

Linear Dynamics: Infinite Horizons

• 23. Complex Numbers and Trigonometry
• 24. Eigenvalues and Eigenvectors
• 25. Computing Square Roots

Nonlinear Dynamics

• 26. Dynamics in One Dimension
• 27. The Solow-Swan Growth Model
• 28. The Cobweb Model
• 29. The Overlapping Generations Model
• 30. Fishery Management: Quotas and MSY
• 31. Racial Segregation

Money, Inflation and Fiscal Policy

• 32. A Monetarist Theory of Price Levels
• 33. Monetarist Theory of Price Levels with Adaptive Expectations
• 34. Money Financed Government Deficits and Price Levels
• 35. Some Unpleasant Monetarist Arithmetic
• 36. Inflation Rate Laffer Curves
• 37. Laffer Curves with Adaptive Expectations
• 38. Inflation During the French Revolution

Stochastic Dynamics

• 39. AR(1) Processes
• 40. Markov Chains: Basic Concepts
• 41. Markov Chains: Irreducibility and Ergodicity
• 42. Univariate Time Series with Matrix Algebra
• 43. Monte Carlo and Option Pricing
• 44. Commodity Prices

Optimization

• 45. Linear Programming
• 46. Shortest Paths

Modeling in Higher Dimensions

• 47. The Perron-Frobenius Theorem
• 48. Input-Output Models
• 49. A Lake Model of Employment
• 50. Networks
• 51. Measuring Mobility

Markets and Competitive Equilibrium

• 52. Supply and Demand with Many Goods
• 53. Market Equilibrium with Heterogeneity

Other

• 54. Troubleshooting
• 55. References
• 56. Execution Statistics