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QuantEcon
Source files for https://python.quantecon.org
The `interpolations` package tries to maintain bleeding edge integration with `numba` and currently supports `numba>=0.49`. This causes issues with the lecture series dependence on `anaconda` releases as `numba` trails in...
@Harveyt47 can you look into this issue with the formulae. Thanks.
Endogenous flows need to be brought up to date with changes in QuantEcon/lecture-source-py#793.
* might be a good task for an RA * look at changing distribution parameters and costs and come up with stories
For greater consistency with other lectures: In https://python.quantecon.org/cass_koopmans.html, shift state and control variables to lower case. * e.g., $K_t$ should be $k_t$. For vectors, use bold rather than arrows above...
The lecture `linear_models.rst` needs to be updated to current style and to reflect existence of new AR1 lecture added in QuantEcon/lecture-source-py#815
``` lecture-python-intro/source/rst/cake_eating_problem.rst:190: WARNING: duplicate label of equation bellman, other instance in cake_eating_numerical lecture-python-intro/source/rst/cake_eating_problem.rst:353: WARNING: duplicate label of equation euler, other instance in cake_eating_numerical lecture-python-intro/source/rst/cake_eating_problem.rst:393: WARNING: citation not found: ma2020income ```
In the plot from the solution code for Exercise 1:  the steps are perfectly flat. I believe this is an artifact of the way how the random seeds are...
While we were following the lecture on Asset Pricing I: Finite State Models, we couldn't really understand the description of the model of [A Risk-Free Consol](https://python.quantecon.org/markov_asset.html#A-Risk-Free-Consol): What is the source...