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22 changes: 22 additions & 0 deletions Team_Projects/Table4/more.md
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# Team Table4: Challenge 4 - Women in Public Sector Jobs

## Challenge Overview
Assessing whether women's high public-sector employment reduces private-sector opportunities (crowding out) or expands them (crowding in).

## What's Included
- **Challenge Definition** ([project.md](DataDive25/Team_Projects/Table4/project.md:0:0-0:0)): Detailed problem statement with two competing hypotheses
- **Data Acquisition** ([fetch_data.py](DataDive25/Team_Projects/Table4/fetch_data.py:0:0-0:0), [data_instructions.md](cci:7://file:///Users/nirajbajpai/.gemini/antigravity/scratch/DataDive25/Team_Projects/Table4/data_instructions.md:0:0-0:0)): Scripts and instructions for obtaining World Bank and ILO data
- **Initial Analysis** ([analyze_data.py](DataDive25/Team_Projects/Table4/analyze_data.py:0:0-0:0), [analysis.md](cci:7://file:///Users/nirajbajpai/.gemini/antigravity/scratch/DataDive25/Team_Projects/Table4/analysis.md:0:0-0:0)): Analysis of public sector employment share across countries
- **Visualization** (`results/public_sector_share_dist.png`): Distribution plot of public sector employment

## Key Findings (Preliminary)
- Top countries by public sector share: Maldives (47%), Russia (45%), Djibouti (43%)
- Most countries have 10-30% public sector employment share

## Next Steps
- Obtain Female Labor Force Participation data
- Correlate public sector share with private sector employment outcomes
- Test crowding out vs crowding in hypotheses

## Team
Table 4
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