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id
int64
1
200
cohort
int64
1
48
cognitive_performance_gap
float64
0.11
0.98
stress_burden
float64
0
0.88
health_constraint
float64
0.12
0.8
learning_access_gap
float64
0.07
0.76
task_complexity_match
float64
0.09
0.93
wage_progression_dispersion
float64
0.15
0.71
supportive_investment
float64
0.03
0.91
neurowage_index
float64
0.23
0.72
1
35
0.594012
0.616801
0.632184
0.646315
0.653238
0.656164
0.403449
0.58961
2
37
0.330544
0.506074
0.337568
0.246591
0.599645
0.192537
0.518242
0.352037
3
18
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0.306969
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0.379773
0.756939
0.433836
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5
0.902187
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0.41356
0.653756
0.209366
0.624093
0.465698
0.665991
5
47
0.64047
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0.117175
0.328383
0.386822
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0.854854
0.39476
6
39
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13
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0.595493
8
27
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0.59384
9
6
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0.601412
10
16
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11
1
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10
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13
17
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0.213396
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14
20
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15
21
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18
42
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20
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32
28
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33
20
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34
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20
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26
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42
11
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43
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44
11
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45
46
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46
25
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48
17
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49
36
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50
17
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51
10
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48
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48
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30
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17
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58
46
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8
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60
20
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61
12
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62
41
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63
19
0.331791
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64
29
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65
18
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66
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67
19
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0.465815
68
22
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0.186216
0.478466
0.376452
69
19
0.596868
0.515144
0.802106
0.585228
0.617548
0.328448
0.389297
0.548971
70
13
0.855926
0.630118
0.378823
0.442372
0.18188
0.569739
0.500416
0.614868
71
25
0.936745
0.702643
0.341504
0.518874
0.333361
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0.624169
72
20
0.351535
0.552234
0.543296
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73
12
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74
14
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75
19
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76
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77
46
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78
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79
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33
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91
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92
39
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Neurowage Economics Dataset

Dataset Description

Summary

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

Supported Tasks

  • Economic analysis
  • Neuroeconomics research
  • Computational economics

Languages

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

Dataset Structure

Data Fields

  • id: Unique observation id
  • cohort: Synthetic worker cohort
  • cognitive_performance_gap: Gap in measured cognitive performance relevant to tasks
  • stress_burden: Chronic economic and psychological stress burden
  • health_constraint: Health-related constraints affecting cognitive function
  • learning_access_gap: Gap in access to learning and cognitive development resources
  • task_complexity_match: Match quality between worker capacity and task complexity
  • wage_progression_dispersion: Dispersion in wage progression outcomes
  • supportive_investment: Supportive investments in health, learning, and stability
  • neurowage_index: Composite term index

Data Splits

  • Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating Neurowage 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{neurowage2026, title={{Neurowage Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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