Consumption/saving
Solving micro dynamic stochastic optimization problems[Jupyter Notebook]
Details
- Consumption, saving and portfolio choice decisions over finite life horizon with stochatic income shocks
- Detailed tutorial on differences between value-function iteration, policy function iteration, and other numerical methods used
- Replication of Chris Carroll's lecture notes
Estimation of permanent/transitory income process[Jupyter Notebook]
Details
- Simulation and parameter estimation of a commonly used income process cotaining a permanent and a transitory (possibly serially correlated) component
Expectational surveys
Density estimation of bin-based density forecasts[Jupyter Notebook]
Details
- Parametric distribution estimation based on density forecasts in surveys with externally divided bins
Numerical methods
Approximation of functions using discrete consine transformation[Jupyter Notebook]
Details
- How the approximation technique used in image processing can be used by economists
Data
Automatic downloading, cleaning and initial analysis of Survey of Consumer Finance[Jupyter Notebook]
Details
- Downloading a specified year of SCF data using API tools
- Undertakes preliminary analysis such as Lorenz curve, life-cycle profile of wealth distribution, etc.
Other
Details
- Replication of Shiller and Pound (1989)'s model of stock market investors