QuantEcon / QuantEcon/lecture-python-intro

[business_cycle] Editorial suggestions for leading indicators and correlated factors section

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reading-group-2024
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Jupyter Notebook
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Forks
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4d 14h
Merged PRs (30d)
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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

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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