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. Business Cycles3. Price Level Histories4. Inflation During French RevolutionFoundations5. Introduction to Supply and Demand6. Linear Equations and Matrix Algebra7. Complex Numbers and Trigonometry8. Geometric Series for Elementary EconomicsLinear Dynamics: Finite Horizons9. Present Values10. Consumption Smoothing11. Tax Smoothing12. Equalizing Difference Model13. A Monetarist Theory of Price Levels14. Monetarist Theory of Price Levels with Adaptive ExpectationsLinear Dynamics: Infinite Horizons15. Eigenvalues and Eigenvectors16. Computing Square RootsProbability and Distributions17. LLN and CLT18. Monte Carlo and Option Pricing19. Racial SegregationNonlinear Dynamics20. Dynamics in One Dimension21. The Solow-Swan Growth Model22. The Cobweb Model23. The Overlapping Generations ModelMonetary-Fiscal Policy Interactions24. Money Financed Government Deficits and Price Levels25. Some Unpleasant Monetarist Arithmetic26. Inflation Rate Laffer Curves27. Laffer Curves with Adaptive ExpectationsStochastic Dynamics28. AR(1) Processes29. Markov Chains: Basic Concepts30. Markov Chains: Irreducibility and Ergodicity31. Univariate Time Series with Matrix AlgebraOptimization32. Shortest PathsModeling in Higher Dimensions33. The Perron-Frobenius Theorem34. A Lake Model of Employment35. NetworksMarkets and Competitive Equilibrium36. Supply and Demand with Many Goods37. Market Equilibrium with HeterogeneityEstimation38. Simple Linear Regression Model39. Maximum Likelihood EstimationOther40. Troubleshooting41. References42. Execution Statistics↑ Top