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id
int64
1
200
period
int64
1
24
market_concentration
float64
0.26
0.98
algorithm_adoption
float64
0.27
0.99
price_sync_index
float64
0.26
0.82
demand_volatility
float64
0.03
2.78
communication_signal
float64
0.14
0.76
margin_spread
float64
0.38
0.73
collusion_risk_proxy
float64
0.22
0.74
algollusion_index
float64
0.38
0.8
1
4
0.350776
0.681684
0.463559
0.300085
0.490054
0.503864
0.386817
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24
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14
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0.68763
69
24
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0.554203
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0.64896
70
6
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71
11
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0.531615
72
14
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73
15
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74
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77
24
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5
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91
7
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17
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Algollusion Economics Dataset

Dataset Description

Summary

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

Supported Tasks

  • Economic analysis
  • Computational Economics / Industrial Organization research
  • Computational economics

Languages

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

Dataset Structure

Data Fields

  • id: Unique observation id
  • period: Synthetic monthly period
  • market_concentration: HHI-style concentration proxy
  • algorithm_adoption: Share of pricing decisions using algorithms
  • price_sync_index: Cross-firm price synchronization
  • demand_volatility: Demand variance channel
  • communication_signal: Tacit coordination signal strength
  • margin_spread: Markup spread above competitive benchmark
  • collusion_risk_proxy: Auxiliary risk proxy
  • algollusion_index: Composite term index

Data Splits

  • Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating Algollusion 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{algollusion2026, title={{Algollusion Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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