README.md

---

language:
- en
license: mit
task_categories:
- tabular-classification
tags:
- economics
- wealthfork
- computational-economics
- wealth-inequality-income-distribution
- emerging-terminology
pretty_name: Wealthfork Economics Dataset
size_categories:
- n<1K
---


# Wealthfork Economics Dataset

## Dataset Description
### Summary
Synthetic 200-row dataset for `Wealthfork` measurement and computational experiments.

### Supported Tasks
- Economic analysis
- Wealth Inequality / Income Distribution research
- Computational economics

### Languages
- English (metadata and documentation)
- Python (code examples)

## Dataset Structure
### Data Fields
- `id`: Unique observation id
- `cohort`: Synthetic household cohort
- `return_dispersion`: Dispersion in realized asset returns
- `capital_access_gap`: Gap in access to high-yield capital markets
- `inheritance_flow`: Relative inheritance inflow intensity
- `savings_rate_gap`: Gap in effective savings rates
- `asset_shock_exposure`: Exposure to asset-price shocks
- `mobility_barrier`: Barrier to upward wealth mobility
- `redistribution_intensity`: Intensity of redistributive counterforces
- `wealthfork_index`: Composite term index

### Data Splits
- Full dataset: 200 examples

## Dataset Creation
### Source Data
Synthetic data generated for demonstrating Wealthfork applications.

### Data Generation
Channels are sampled from controlled distributions with correlated structure. The term index is computed from normalized channels and directional weights.

## Considerations
### Social Impact
Research-only synthetic data for method development and reproducibility testing.

## Additional Information
### Licensing
MIT License - free for academic and commercial use.

### Citation
@dataset{wealthfork2026,
title={{Wealthfork Economics Dataset}},
author={{Economic Research Collective}},
year={{2026}}
}