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id
int64
1
200
county_period
int64
1
80
mortality_gap
float64
0.1
0.98
income_divergence
float64
0.09
0.85
employment_insecurity
float64
0.07
0.79
mental_health_burden
float64
0.15
0.83
substance_use_risk
float64
0.12
0.68
social_mobility_block
float64
0.11
0.78
community_resilience
float64
0.04
0.93
despairchasm_index
float64
0.21
0.69
1
69
0.533292
0.599915
0.500847
0.411975
0.410866
0.501091
0.283072
0.513681
2
35
0.669664
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0.471615
0.381365
0.267904
0.655043
0.455162
3
28
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57
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0.527911
5
25
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40
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60
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14
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69
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70
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71
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72
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Despairchasm Economics Dataset

Dataset Description

Summary

Synthetic 200-row dataset for Despairchasm measurement and computational experiments.

Supported Tasks

  • 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
  • substance_use_risk: Risk intensity for problematic substance use
  • social_mobility_block: Barriers to upward social mobility
  • community_resilience: Protective local resilience capacity
  • despairchasm_index: Composite term index

Data Splits

  • 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, title={{Despairchasm Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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