QuantEcon / QuantEcon/lecture-python-intro
[social mobility lecture] markov chain + shorrocks mobility
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new-lecture
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Description
As discussed with @jstac we could combine the Shorrocks mobility with the Markov matrix (intergenerational mobility matrix).
See references:
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked QuantEcon inequality documentation, the AEA reference, and the cited macro_dynamics_text section, then review the existing lecture structure. Done means the lecture includes a decided, working integration of the Shorrocks mobility measure with the intergenerational Markov matrix and explains the result clearly.
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Assessment
- Tech stack
- python
- Domain
- content, data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100