lecture-python-intro
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[olg] Editorial Suggestions
Comments by @longye-tian.
Code
- [ ] Combine the two graphs showing equilibrium. (Delete the first plot and leave the one with the equilibrium point.
- [x]
x = 1000->n = 1000 - [x] Vectorize
k_grid_next = np.empty_like(k_grid)
for i in range(x):
k_grid_next[i] = k_update(k_grid[i], α, β)
- [x] Add y label for plot in 24.6.3
- [x] Remove these duplicated lines
R_vals = np.linspace(0.3, 1)
model = create_olg_model()
Content
- [ ] Add a comparison to the Solow-Swan growth model.
- [x] 'Long run growth' -> 'Long-run growth'.
- [ ] Explain the Euler equation and give economic intuition.
- [x] firm problem -> firm's problem.
- [x] factor price $\times$ factor (
\max_{k_t, \ell_t} \{ k^{\alpha}_t \ell_t^{1-\alpha} - R_t k_t - \ell_t w_t \}to\max_{k_t, \ell_t} \{ k^{\alpha}_t \ell_t^{1-\alpha} - R_t k_t - w_t \ell_t \}. - [ ] Add assumption for labor market clearing condition to get $\ell = 1$.
- [x] 'interest rate' -> 'gross interest rate'.
- [ ] Recalibrate the model to get an interest rate > 0.
- [x] '45 degree' -> '45-degree'.
- [ ] Add an explanation on CRRA (add a sentence: as $\gamma \to 1$ this becomes a log utility).
- [ ] Lecture on Ponzi scheme and OLG? @longye-tian for more details.