[business_cycle] Editorial suggestions for unemployment section
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- content, data-visualization, documentation
Research direction
The payload identifies only the Unemployment section and gives no file or notebook path; start by locating that section in the lectures. Clarify the GDP–unemployment and recession definitions, then determine whether a focused US–France recovery chart is required and use the agreed editorial changes as the completion check.
Written by the indexing model from the issue text.
Description
Section: Unemployment
How is unemployment related to business cycles? Clarify the linkage between GDP and unemployment. Business cycles are generally a vague term -- however measuring of recessions is in terms of GDP growth. How are recessions defined?
Project: Does unemployment recover quicker in the US after a recession compared to Europe (due to labour market frictions) and can this be seen on a more focused chart comparing US and France (for example)
- Dominant language
- Jupyter Notebook
- Stars
- 65
- Forks
- 32
- Avg merge
- 4d 14h
- Merged PRs (30d)
- 6
Contributor guide
No contributing guide indexed for this repository
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.
More from QuantEcon/lecture-python-intro
-
Difficulty 1/5 Under an hour Newbie friendliness 92/100
-
enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
-
Difficulty 1/5 Under an hour Newbie friendliness 90/100
-
Difficulty 1/5 Under an hour Newbie friendliness 88/100
-
enhancement
Difficulty 2/5 Half a day Newbie friendliness 76/100
QuantEcon/lecture-python-intro#764 · 4 comments ·
All issues in QuantEcon/lecture-python-intro
Similar issues
-
community first-timers-only good first issue hacktoberfest help wanted low hanging fruit up-for-grabs
Difficulty 1/5 Under an hour Newbie friendliness 95/100
-
Request: Setka Opennew icon permissions in review
Difficulty 2/5 1-3 hours Newbie friendliness 80/100
simple-icons/simple-icons#15032 ·
-
N: AdGuard Mini for Mac P3: Medium T: Annoyance
Difficulty 2/5 1-3 hours Newbie friendliness 65/100
AdguardTeam/AdguardFilters#242397 ·
-
Bio for Deeksha Ravi Openonboarding
Difficulty 1/5 Under an hour Newbie friendliness 90/100
-
Suzhou subway logo OpenIcons Metro Public Transport
Difficulty 1/5 Under an hour Newbie friendliness 75/100
organicmaps/organicmaps#13617 · 1 comment ·