Intermediate Quantitative Economics with Python#
This website presents a set of lectures on quantitative economic modeling.
- 8. Elementary Probability with Matrices
- 9. LLN and CLT
- 10. Two Meanings of Probability
- 11. Multivariate Hypergeometric Distribution
- 12. Multivariate Normal Distribution
- 13. Fault Tree Uncertainties
- 14. Introduction to Artificial Neural Networks
- 15. Randomized Response Surveys
- 16. Expected Utilities of Random Responses
- 34. Cass-Koopmans Model
- 35. Cass-Koopmans Competitive Equilibrium
- 36. Cass-Koopmans Model with Distorting Taxes
- 37. Transitions in an Overlapping Generations Model
- 38. Cake Eating I: Introduction to Optimal Saving
- 39. Cake Eating II: Numerical Methods
- 40. Optimal Growth I: The Stochastic Optimal Growth Model
- 41. Optimal Growth II: Accelerating the Code with Numba
- 42. Optimal Growth III: Time Iteration
- 43. Optimal Growth IV: The Endogenous Grid Method
- 44. The Income Fluctuation Problem I: Basic Model
- 45. The Income Fluctuation Problem II: Stochastic Returns on Assets
- 49. Job Search VII: Search with Learning
- 50. Likelihood Ratio Processes
- 51. Computing Mean of a Likelihood Ratio Process
- 52. A Problem that Stumped Milton Friedman
- 53. Exchangeability and Bayesian Updating
- 54. Likelihood Ratio Processes and Bayesian Learning
- 55. Incorrect Models
- 56. Bayesian versus Frequentist Decision Rules