A First Course in Quantitative Economics with Python - WASMThomas J. Sargent and John StachurskiPowered by MyST MarkdownThis lecture series provides an introduction to quantitative economics using Python.Economic Data1. Long-Run Growth2. Price Level Histories3. Inflation During French RevolutionFoundations4. Introduction to Supply and Demand5. Linear Equations and Matrix Algebra6. Complex Numbers and Trigonometry7. Geometric Series for Elementary EconomicsLinear Dynamics: Finite Horizons8. Present Values9. Consumption Smoothing10. Tax Smoothing11. Equalizing Difference Model12. A Monetarist Theory of Price Levels13. Monetarist Theory of Price Levels with Adaptive ExpectationsLinear Dynamics: Infinite Horizons14. Eigenvalues and Eigenvectors15. Computing Square RootsProbability and Distributions16. LLN and CLT17. Monte Carlo and Option Pricing18. Racial SegregationNonlinear Dynamics19. Dynamics in One Dimension20. The Solow-Swan Growth Model21. The Cobweb Model22. The Overlapping Generations ModelMonetary-Fiscal Policy Interactions23. Money Financed Government Deficits and Price Levels24. Some Unpleasant Monetarist Arithmetic25. Inflation Rate Laffer Curves26. Laffer Curves with Adaptive ExpectationsStochastic Dynamics27. AR(1) Processes28. Markov Chains: Basic Concepts29. Markov Chains: Irreducibility and Ergodicity30. Univariate Time Series with Matrix AlgebraOptimization31. Shortest PathsModeling in Higher Dimensions32. The Perron-Frobenius Theorem33. A Lake Model of Employment34. NetworksMarkets and Competitive Equilibrium35. Supply and Demand with Many Goods36. Market Equilibrium with HeterogeneityEstimation37. Simple Linear Regression Model38. Maximum Likelihood EstimationOther39. Troubleshooting40. References41. Execution Statistics↑ Top