Intermediate Quantitative Economics with Python#
This website presents a set of lectures on quantitative economic modeling.
- 10. Elementary Probability with Matrices
- 11. LLN and CLT
- 12. Two Meanings of Probability
- 13. Multivariate Hypergeometric Distribution
- 14. Multivariate Normal Distribution
- 15. Heavy-Tailed Distributions
- 16. Fault Tree Uncertainties
- 17. Introduction to Artificial Neural Networks
- 18. Randomized Response Surveys
- 19. Expected Utilities of Random Responses
- 23. Dynamics in One Dimension
- 24. Finite Markov Chains
- 25. Inventory Dynamics
- 26. Linear State Space Models
- 27. Samuelson Multiplier-Accelerator
- 28. Kesten Processes and Firm Dynamics
- 29. Wealth Distribution Dynamics
- 30. A First Look at the Kalman Filter
- 31. Another Look at the Kalman Filter
- 32. Shortest Paths
- 40. Cass-Koopmans Model
- 41. Cass-Koopmans Competitive Equilibrium
- 42. Cake Eating I: Introduction to Optimal Saving
- 43. Cake Eating II: Numerical Methods
- 44. Optimal Growth I: The Stochastic Optimal Growth Model
- 45. Optimal Growth II: Accelerating the Code with Numba
- 46. Optimal Growth III: Time Iteration
- 47. Optimal Growth IV: The Endogenous Grid Method
- 48. The Income Fluctuation Problem I: Basic Model
- 49. The Income Fluctuation Problem II: Stochastic Returns on Assets
- 53. Job Search VII: Search with Learning
- 54. Likelihood Ratio Processes
- 55. Computing Mean of a Likelihood Ratio Process
- 56. A Problem that Stumped Milton Friedman
- 57. Exchangeability and Bayesian Updating
- 58. Likelihood Ratio Processes and Bayesian Learning
- 59. Incorrect Models
- 60. Bayesian versus Frequentist Decision Rules