QuantEcon / QuantEcon/lecture-python-intro
[business_cycle] Editorial suggestions for leading indicators and correlated factors section
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Description
Section: Leading indicators and correlated factors
Consumer Sentiment
- what is consumption?
- what is the consumer sentiment index measuring?
- What is cpi?
Figure 3.10 -- the focus here is on consumer sentiment so we can update the figure to just show consumer sentiment (and remove CPI), then take a look at drivers of consumer sentiment in relation to CPI, essentially splitting this graph into two with some explanaions.
Production
How is production linked to business cycles?
Credit Levels:
what is it and how would it link to business cycles
Can we also find data on the US and show that as well.
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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 with the Leading indicators and correlated factors section in business_cycle.html and inspect Figure 3.10 at the linked #csicpi anchor. Review the existing explanations and data sources, then determine the needed figure split and US credit-level data. Done means the consumer sentiment, CPI, production, and credit-level relationships are explained and the relevant figures are updated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data-visualization, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100