lecture-python-intro
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QuantEcon
An Undergraduate Lecture Series for the Foundations of Computational Economics
- [ ] We need to add more explanations of statistical terms. - [ ] Add an explanation of each technical term in the df_income_wealth dataframe. - [ ] It’s...
Propose removing section 18.1.4 and 18.1.5. And also skim the rest of the lecture and looking for other redundancies.
Also define the parameters in lognormal distribution.
There are two issues in this chapter. 1. The "more realistic dynamics" has infinite mean. In the simplest case where rho=0, S_1 is the exponential of the exponential of a...
``` /usr/share/miniconda3/envs/quantecon/lib/python3.11/site-packages/numba/core/decorators.py:262: NumbaDeprecationWarning: numba.generated_jit is deprecated. Please see the documentation at: https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-generated-jit for more information and advice on a suitable replacement. warnings.warn(msg, NumbaDeprecationWarning) ``` These warnings come from interpolation. Main...
After Figure 3.9, possibly add a sentence about why the labour union in France make the recovery slower.
Exercises are missing.
- Explain the real GDP/income - we need to discuss if and when GDP is important -- what is it correlated with? health? happiness? -- is more GDP better for...
Add some discussions about the different between cycles and fluctuations and appropriate policy responses.
Hi @jstac and @thomassargent30 thanks for writing this insightful lecture. I learned a lot. I find a possible issue in lecture [equalizing_difference](https://intro.quantecon.org/equalizing_difference.html) when I review a PR related: By definition...
