[business_cycle] Editorial suggestions for leading indicators and correlated factors section
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- jupyter-notebook
- Domain
- data-visualization, documentation
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.
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.
- Dominant language
- Jupyter Notebook
- Stars
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- Forks
- 32
- Avg merge
- 4d 14h
- Merged PRs (30d)
- 6
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QuantEcon/lecture-python-intro#764 · 4 comments ·
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