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id
int64
1
200
quarter
int64
1
40
unemployment_gap
float64
-1.68
2.92
vacancy_rate
float64
2.25
6.49
nominal_wage_growth
float64
2.5
4.75
inflation_expectations
float64
0.87
4.57
import_cost_shock
float64
-1.05
1.39
productivity_growth
float64
-0.03
3.99
core_inflation
float64
2.06
3.74
slackflation_index
float64
0.3
0.73
1
10
-0.084092
4.715804
3.684599
2.861259
-0.380255
1.849251
2.9129
0.461802
2
22
1.885006
6.491368
4.110515
2.260837
-0.049665
0.072061
2.760716
0.64554
3
3
0.805337
3.895322
3.226955
2.927585
0.300749
1.049885
3.191701
0.522172
4
15
0.025993
4.709483
3.620199
2.875619
1.081003
1.484007
3.109767
0.576255
5
17
1.696747
4.266568
3.07983
2.647335
0.200455
2.504123
2.715206
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26
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35
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0.450933
8
40
1.565198
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1.735773
2.787601
0.579449
9
40
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1.687277
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10
19
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2.562048
0.532531
11
9
1.30468
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3.411295
1.07169
1.436735
2.797858
0.507002
12
25
1.767416
4.382096
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1.727621
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13
38
2.05697
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0.398211
2.530632
0.445882
14
13
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15
19
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16
16
1.029773
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17
36
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32
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34
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62
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64
27
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70
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2.600013
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71
13
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72
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73
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74
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Slackflation Economics Dataset

Dataset Description

Summary

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

Supported Tasks

  • Economic analysis
  • Macroeconomics / Monetary Policy research
  • Computational economics

Languages

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

Dataset Structure

Data Fields

  • id: Unique observation id
  • quarter: Synthetic quarter
  • unemployment_gap: Gap from neutral unemployment
  • vacancy_rate: Job vacancy rate
  • nominal_wage_growth: Nominal wage growth
  • inflation_expectations: One-year inflation expectations
  • import_cost_shock: Imported cost shock proxy
  • productivity_growth: Labor productivity growth
  • core_inflation: Core inflation
  • slackflation_index: Composite term index

Data Splits

  • Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating Slackflation 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{slackflation2026, title={{Slackflation Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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