| ---
|
| language:
|
| - en
|
| license: mit
|
| task_categories:
|
| - tabular-classification
|
| tags:
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| - economics
|
| - despairchasm
|
| - computational-economics
|
| - behavioral-economics
|
| - emerging-terminology
|
| pretty_name: Despairchasm Economics Dataset
|
| size_categories:
|
| - n<1K
|
| ---
|
|
|
| # Despairchasm Economics Dataset
|
|
|
| ## Dataset Description
|
| ### Summary
|
| Synthetic 200-row dataset for `Despairchasm` measurement and computational experiments.
|
|
|
| ### Supported Tasks
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| - Economic analysis
|
| - Behavioral Economics research
|
| - Computational economics
|
|
|
| ### Languages
|
| - English (metadata and documentation)
|
| - Python (code examples)
|
|
|
| ## Dataset Structure
|
| ### Data Fields
|
| - `id`: Unique observation id
|
| - `county_period`: Synthetic county-period panel key
|
| - `mortality_gap`: Gap in deaths-of-despair mortality rates
|
| - `income_divergence`: Divergence in household income trajectories
|
| - `employment_insecurity`: Precarity and instability in local labor markets
|
| - `mental_health_burden`: Aggregate mental-health stress burden
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| - `substance_use_risk`: Risk intensity for problematic substance use
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| - `social_mobility_block`: Barriers to upward social mobility
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| - `community_resilience`: Protective local resilience capacity
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| - `despairchasm_index`: Composite term index
|
|
|
| ### Data Splits
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| - Full dataset: 200 examples
|
|
|
| ## Dataset Creation
|
| ### Source Data
|
| Synthetic data generated for demonstrating Despairchasm 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{despairchasm2026,
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| title={{Despairchasm Economics Dataset}},
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| author={{Economic Research Collective}},
|
| year={{2026}}
|
| }
|
|
|
