README.md

metadata

language:
  - en
license: mit
task_categories:
  - tabular-classification
tags:
  - economics
  - credential-relaxation
  - computational-economics
  - labor-economics
  - emerging-terminology
pretty_name: credential relaxation Economics Dataset
size_categories:
  - n<1K

credential relaxation Economics Dataset

Dataset Description

Summary

Synthetic 200-row dataset for credential relaxation measurement and computational experiments.

Supported Tasks

• Economic analysis
• Labor Economics research
• Computational economics

Languages

• English (metadata and documentation)
• Python (code examples)

Dataset Structure

Data Fields

• id: Unique observation id
• quarter: Synthetic quarter
• labor_shortage: Gap between open roles and qualified applicants
• skills_based_hiring_share: Share of openings without formal degree filters
• degree_requirement_rate: Share of jobs requiring degree credentials
• certification_requirement_rate: Share of jobs requiring formal certifications
• hiring_time_days: Time-to-fill metric in days
• offer_acceptance_rate: Accepted offers divided by offers made
• retention_6m: Six-month retention rate for new hires
• credential_relaxation_index: Composite term index

Data Splits

• Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating credential relaxation 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{credential-relaxation2026, title={{credential relaxation Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }