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Suggested TOC for first public version of the undergraduate lectures --- please feel free to comment or edit.
- Data and Measurement
- long run growth (started by @AakashGfude , @mmcky is currently assigned)
- business cycle emprics (@HumphreyYang is working on this)
- inflation and unemployment (@shlff to continue)
- inequality (done)
- distributions in economics (see Add a discussion of cross-sectional distributions in economics #119 )
- Useful Tools
- Geometric series (done)
- Linear equations and matrix algebra (@maanasee's first lecture, done)
- Simulation
- Dynamics
- Solow model (done)
- Dynamics in one dimension (@jstac to review)
- Cobweb model (done)
- OLG model (@Smit-create is assigned, @jstac to review)
- Markov chains (completed by @HumphreyYang , @jstac to review)
- Modeling in higher dimensions
- The eigenvalues lecture (@maanasee's second lecture, @Jingni0117 will review)
- The lake model (Add a separate lecture on the lake model #95, @Chien-Y is lead)
- An introduction to asset pricing --- a simplified version of https://python.quantecon.org/markov_asset.html
- An introduction to networks (@maanasee's third lecture)
- The multiplier-accelerator model --- simplify https://python.quantecon.org/samuelson.html or use as is?
- Optimization
- Linear programming (done)
- Comparative advantage (see Add a lecture on comparative advantage #74, an application of linear programming, requires some input from @thomassargent30 )
- Nonlinear problems (see add a new constrained optimization lecture with two variables #92, @jstac has notes on this, @Chien-Y is assigned)
- Shortest paths (done)
- Markets and competitive equilibrium
- Tom's first lecture on markets and welfare (@thomassargent30 is lead)
- Tom's second lecture, on risk (@thomassargent30 is lead)
- Tom's third lecture, on uncertainty (@thomassargent30 is lead)
- Estimation
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