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id int64 1 200 | quarter int64 1 32 | labor_shortage float64 0.12 1 | skills_based_hiring_share float64 0.13 0.99 | degree_requirement_rate float64 0.14 0.84 | certification_requirement_rate float64 0.16 0.69 | hiring_time_days float64 7 68.3 | offer_acceptance_rate float64 0.33 0.75 | retention_6m float64 0.46 0.82 | credential_relaxation_index float64 0.33 0.79 |
|---|---|---|---|---|---|---|---|---|---|
1 | 15 | 0.694411 | 0.595433 | 0.439576 | 0.28304 | 16.727471 | 0.508624 | 0.62795 | 0.644452 |
2 | 27 | 0.832009 | 0.912695 | 0.32563 | 0.161355 | 40.991457 | 0.651861 | 0.706937 | 0.754037 |
3 | 8 | 0.791101 | 0.761046 | 0.255403 | 0.331198 | 26.454355 | 0.626496 | 0.777961 | 0.731245 |
4 | 10 | 0.423171 | 0.46501 | 0.675795 | 0.42581 | 20.180801 | 0.475766 | 0.670023 | 0.49606 |
5 | 6 | 0.40952 | 0.669389 | 0.448693 | 0.3351 | 17.158165 | 0.544839 | 0.704657 | 0.602391 |
6 | 15 | 0.515825 | 0.887542 | 0.348282 | 0.333109 | 33.772784 | 0.637683 | 0.768547 | 0.672932 |
7 | 24 | 0.572251 | 0.517885 | 0.410366 | 0.444662 | 32.974552 | 0.487643 | 0.652891 | 0.560539 |
8 | 27 | 0.69064 | 0.767174 | 0.462418 | 0.486174 | 51.130346 | 0.539902 | 0.791895 | 0.605627 |
9 | 22 | 0.637825 | 0.774769 | 0.344352 | 0.321824 | 13.43247 | 0.585121 | 0.76235 | 0.704489 |
10 | 29 | 0.709668 | 0.869717 | 0.352224 | 0.368374 | 35.468275 | 0.636974 | 0.792144 | 0.70154 |
11 | 10 | 0.800785 | 0.626882 | 0.3109 | 0.289908 | 57.08148 | 0.504751 | 0.665439 | 0.63101 |
12 | 5 | 0.393346 | 0.469505 | 0.464559 | 0.460772 | 38.475346 | 0.499224 | 0.691188 | 0.498321 |
13 | 8 | 0.566344 | 0.722428 | 0.482044 | 0.420353 | 40.312483 | 0.53641 | 0.780967 | 0.593921 |
14 | 21 | 0.716602 | 0.493805 | 0.501772 | 0.388731 | 36.620842 | 0.431143 | 0.66308 | 0.565188 |
15 | 27 | 0.393086 | 0.727953 | 0.388466 | 0.354104 | 14.658271 | 0.593651 | 0.718053 | 0.629028 |
16 | 15 | 0.479272 | 0.257484 | 0.792207 | 0.579627 | 39.981728 | 0.507789 | 0.579195 | 0.386926 |
17 | 22 | 0.747112 | 0.217978 | 0.619133 | 0.366426 | 68.3106 | 0.420892 | 0.537001 | 0.435324 |
18 | 10 | 0.306024 | 0.737092 | 0.395069 | 0.450823 | 26.914683 | 0.534758 | 0.755283 | 0.575812 |
19 | 14 | 0.885872 | 0.579387 | 0.289308 | 0.437669 | 56.535289 | 0.614888 | 0.661039 | 0.633281 |
20 | 21 | 0.707868 | 0.636175 | 0.435031 | 0.321622 | 22.947165 | 0.602509 | 0.698803 | 0.65562 |
21 | 20 | 0.47139 | 0.492521 | 0.575378 | 0.287595 | 9.9116 | 0.529335 | 0.549214 | 0.561072 |
22 | 3 | 0.612772 | 0.361774 | 0.560471 | 0.414089 | 22.64532 | 0.484041 | 0.721386 | 0.536649 |
23 | 29 | 0.422706 | 0.572437 | 0.36845 | 0.310396 | 32.877621 | 0.551826 | 0.572672 | 0.568041 |
24 | 19 | 0.748434 | 0.614312 | 0.469122 | 0.400632 | 15.880213 | 0.47079 | 0.650161 | 0.636627 |
25 | 15 | 0.452375 | 0.591413 | 0.51422 | 0.494265 | 25.218528 | 0.582629 | 0.718164 | 0.553002 |
26 | 30 | 0.216305 | 0.414353 | 0.469638 | 0.410487 | 56.003205 | 0.379384 | 0.634222 | 0.412879 |
27 | 29 | 0.345521 | 0.869149 | 0.311344 | 0.242896 | 29.553038 | 0.630479 | 0.706616 | 0.655679 |
28 | 13 | 0.933052 | 0.718249 | 0.460291 | 0.448859 | 42.27673 | 0.564789 | 0.762822 | 0.664534 |
29 | 6 | 0.782429 | 0.781788 | 0.397325 | 0.355411 | 32.330128 | 0.596339 | 0.71188 | 0.686837 |
30 | 27 | 0.578451 | 0.506755 | 0.414492 | 0.391654 | 28.461067 | 0.438394 | 0.642998 | 0.567877 |
31 | 10 | 0.257254 | 0.571584 | 0.515101 | 0.473081 | 16.649626 | 0.429969 | 0.64632 | 0.505782 |
32 | 16 | 0.55149 | 0.648652 | 0.471047 | 0.289682 | 45.156988 | 0.558234 | 0.669961 | 0.581869 |
33 | 4 | 0.613496 | 0.439537 | 0.515193 | 0.585497 | 44.77876 | 0.437389 | 0.664178 | 0.491157 |
34 | 14 | 0.899736 | 0.623278 | 0.531626 | 0.285627 | 32.983969 | 0.468759 | 0.64142 | 0.644731 |
35 | 17 | 0.657655 | 0.693224 | 0.416684 | 0.486379 | 27.288187 | 0.499583 | 0.73316 | 0.6226 |
36 | 15 | 0.439032 | 0.700958 | 0.517836 | 0.354249 | 28.591379 | 0.572124 | 0.661263 | 0.58009 |
37 | 7 | 0.600003 | 0.48565 | 0.488486 | 0.302646 | 44.691491 | 0.520343 | 0.650663 | 0.549444 |
38 | 19 | 0.140092 | 0.424456 | 0.503606 | 0.483516 | 18.84402 | 0.535865 | 0.630218 | 0.459254 |
39 | 11 | 0.443829 | 0.498722 | 0.60802 | 0.387144 | 18.115194 | 0.545922 | 0.690107 | 0.536538 |
40 | 12 | 0.334548 | 0.628388 | 0.53716 | 0.413519 | 28.82679 | 0.49384 | 0.736334 | 0.530696 |
41 | 19 | 0.463083 | 0.745896 | 0.362594 | 0.205003 | 40.685081 | 0.684056 | 0.797733 | 0.645111 |
42 | 19 | 0.79679 | 0.39784 | 0.552896 | 0.221991 | 25.407806 | 0.492136 | 0.606734 | 0.596054 |
43 | 16 | 0.676406 | 0.70842 | 0.406453 | 0.369842 | 7 | 0.684707 | 0.700137 | 0.696507 |
44 | 11 | 0.282267 | 0.575681 | 0.372851 | 0.420181 | 17.213618 | 0.466716 | 0.581715 | 0.542201 |
45 | 15 | 0.706902 | 0.654615 | 0.643783 | 0.402009 | 18.257422 | 0.49008 | 0.684122 | 0.605518 |
46 | 4 | 0.528506 | 0.588341 | 0.385532 | 0.586135 | 27.634957 | 0.535641 | 0.603035 | 0.560065 |
47 | 21 | 0.60106 | 0.465312 | 0.523813 | 0.521896 | 8.436209 | 0.390909 | 0.569237 | 0.54821 |
48 | 21 | 0.708382 | 0.790392 | 0.412303 | 0.252755 | 44.147623 | 0.59013 | 0.71728 | 0.665961 |
49 | 8 | 0.439561 | 0.637215 | 0.647898 | 0.448412 | 24.314622 | 0.512834 | 0.671113 | 0.532688 |
50 | 26 | 0.511424 | 0.915328 | 0.260119 | 0.381783 | 32.375346 | 0.674918 | 0.739871 | 0.690373 |
51 | 5 | 0.753666 | 0.898721 | 0.412856 | 0.297674 | 39.840314 | 0.58554 | 0.726731 | 0.697618 |
52 | 27 | 0.739841 | 0.605546 | 0.583626 | 0.260455 | 31.209603 | 0.532935 | 0.633244 | 0.612027 |
53 | 13 | 0.477377 | 0.503715 | 0.477952 | 0.452339 | 17.51803 | 0.645659 | 0.725253 | 0.57229 |
54 | 11 | 0.839506 | 0.930776 | 0.530389 | 0.30274 | 33.694251 | 0.558347 | 0.581621 | 0.695028 |
55 | 15 | 0.513098 | 0.338848 | 0.614352 | 0.328739 | 40.96105 | 0.395786 | 0.627123 | 0.468139 |
56 | 9 | 0.903605 | 0.862923 | 0.411001 | 0.402174 | 45.454004 | 0.570648 | 0.760207 | 0.698182 |
57 | 14 | 0.397835 | 0.958943 | 0.264024 | 0.228634 | 22.174735 | 0.614555 | 0.785033 | 0.71133 |
58 | 27 | 0.378141 | 0.311344 | 0.570792 | 0.479593 | 17.127977 | 0.46555 | 0.623269 | 0.467909 |
59 | 13 | 0.820972 | 0.893667 | 0.425231 | 0.303784 | 38.544585 | 0.599228 | 0.790616 | 0.715578 |
60 | 18 | 0.707311 | 0.423427 | 0.500394 | 0.527636 | 19.188218 | 0.505183 | 0.614834 | 0.562033 |
61 | 16 | 0.899264 | 0.942336 | 0.260142 | 0.232061 | 36.367897 | 0.752097 | 0.66527 | 0.789537 |
62 | 2 | 0.316497 | 0.378198 | 0.601073 | 0.29628 | 39.594317 | 0.544002 | 0.549305 | 0.454449 |
63 | 8 | 0.686046 | 0.543834 | 0.532362 | 0.358625 | 46.912594 | 0.619816 | 0.660022 | 0.569628 |
64 | 15 | 0.71425 | 0.411601 | 0.609071 | 0.382892 | 30.109025 | 0.491094 | 0.667202 | 0.546726 |
65 | 14 | 0.484047 | 0.874089 | 0.454726 | 0.24007 | 31.429045 | 0.641085 | 0.805128 | 0.664841 |
66 | 8 | 0.649133 | 0.441287 | 0.56248 | 0.398138 | 37.880208 | 0.487479 | 0.690167 | 0.534692 |
67 | 22 | 0.284929 | 0.248215 | 0.838076 | 0.526187 | 46.966905 | 0.456177 | 0.62934 | 0.332886 |
68 | 15 | 0.30532 | 0.399168 | 0.725057 | 0.371967 | 7 | 0.331647 | 0.664376 | 0.464627 |
69 | 21 | 0.682711 | 0.785168 | 0.420278 | 0.369606 | 22.66587 | 0.546485 | 0.601777 | 0.66342 |
70 | 22 | 0.706412 | 0.761472 | 0.372639 | 0.506586 | 44.537119 | 0.565565 | 0.764282 | 0.632054 |
71 | 32 | 0.308028 | 0.850704 | 0.282564 | 0.37056 | 57.404695 | 0.658207 | 0.759672 | 0.593389 |
72 | 1 | 0.628937 | 0.746261 | 0.50409 | 0.325791 | 29.364803 | 0.588831 | 0.740795 | 0.640361 |
73 | 20 | 0.627985 | 0.763017 | 0.357733 | 0.44279 | 36.210279 | 0.588817 | 0.655346 | 0.635484 |
74 | 8 | 0.486872 | 0.209426 | 0.764759 | 0.602259 | 32.065393 | 0.389857 | 0.64482 | 0.386975 |
75 | 22 | 0.841992 | 0.2381 | 0.510263 | 0.427431 | 27.560734 | 0.376593 | 0.558707 | 0.533151 |
76 | 23 | 0.485858 | 0.840918 | 0.313172 | 0.284621 | 24.52002 | 0.568527 | 0.810367 | 0.682243 |
77 | 22 | 0.571657 | 0.578642 | 0.619553 | 0.322089 | 7.992392 | 0.50115 | 0.720507 | 0.599585 |
78 | 7 | 0.745407 | 0.426365 | 0.463564 | 0.56253 | 36.905017 | 0.406591 | 0.567303 | 0.529426 |
79 | 19 | 0.554294 | 0.388586 | 0.588196 | 0.490433 | 54.906453 | 0.482166 | 0.634297 | 0.454863 |
80 | 7 | 0.687698 | 0.73402 | 0.415345 | 0.347709 | 41.592743 | 0.713151 | 0.721991 | 0.653555 |
81 | 17 | 0.75342 | 0.41408 | 0.458895 | 0.376615 | 47.562914 | 0.57938 | 0.662017 | 0.562912 |
82 | 26 | 0.619994 | 0.412906 | 0.471439 | 0.357716 | 28.086655 | 0.532239 | 0.674818 | 0.564457 |
83 | 6 | 0.433677 | 0.440855 | 0.541505 | 0.479245 | 18.00696 | 0.522879 | 0.693029 | 0.520119 |
84 | 3 | 0.709909 | 0.843586 | 0.258777 | 0.363101 | 33.278476 | 0.628015 | 0.795345 | 0.716853 |
85 | 17 | 0.496219 | 0.466502 | 0.403116 | 0.410826 | 38.364958 | 0.477664 | 0.616507 | 0.528397 |
86 | 7 | 0.259075 | 0.717618 | 0.347782 | 0.480381 | 61.72553 | 0.646713 | 0.684271 | 0.515638 |
87 | 10 | 0.693463 | 0.85699 | 0.455756 | 0.325507 | 31.793067 | 0.597048 | 0.709182 | 0.678484 |
88 | 19 | 0.899064 | 0.703621 | 0.537152 | 0.327249 | 14.565353 | 0.563769 | 0.655636 | 0.694523 |
89 | 2 | 0.581471 | 0.855783 | 0.395603 | 0.426229 | 39.041824 | 0.640203 | 0.716143 | 0.645621 |
90 | 7 | 0.664719 | 0.730048 | 0.310817 | 0.340035 | 40.359761 | 0.575367 | 0.715736 | 0.655786 |
91 | 11 | 0.439376 | 0.845058 | 0.411288 | 0.280606 | 7 | 0.486315 | 0.661985 | 0.66516 |
92 | 21 | 0.279036 | 0.729555 | 0.347889 | 0.274487 | 21.023432 | 0.606528 | 0.677426 | 0.612644 |
93 | 7 | 0.864492 | 0.725702 | 0.359046 | 0.478853 | 35.380921 | 0.504288 | 0.674905 | 0.664502 |
94 | 9 | 0.961041 | 0.891862 | 0.433065 | 0.24832 | 38.453643 | 0.537856 | 0.759891 | 0.741139 |
95 | 28 | 0.559319 | 0.762842 | 0.438972 | 0.334566 | 31.104405 | 0.478135 | 0.823043 | 0.63292 |
96 | 5 | 0.529798 | 0.741863 | 0.345498 | 0.403336 | 24.143383 | 0.576428 | 0.761584 | 0.646284 |
97 | 17 | 0.532041 | 0.715501 | 0.553797 | 0.219954 | 16.526162 | 0.566941 | 0.651754 | 0.632328 |
98 | 24 | 0.41437 | 0.498083 | 0.33587 | 0.382978 | 27.43604 | 0.559723 | 0.545387 | 0.554689 |
99 | 4 | 0.539439 | 0.985261 | 0.368271 | 0.223264 | 49.833964 | 0.604054 | 0.815406 | 0.683168 |
100 | 7 | 0.741319 | 0.476513 | 0.51124 | 0.407972 | 40.88041 | 0.555462 | 0.575216 | 0.56073 |
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credential relaxation Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for credential relaxation measurement and computational experiments.
Supported Tasks
- Economic analysis
- Labor Economics research
- Computational economics
Languages
- English (metadata and documentation)
- Python (code examples)
Dataset Structure
Data Fields
id: Unique observation idquarter: Synthetic quarterlabor_shortage: Gap between open roles and qualified applicantsskills_based_hiring_share: Share of openings without formal degree filtersdegree_requirement_rate: Share of jobs requiring degree credentialscertification_requirement_rate: Share of jobs requiring formal certificationshiring_time_days: Time-to-fill metric in daysoffer_acceptance_rate: Accepted offers divided by offers maderetention_6m: Six-month retention rate for new hirescredential_relaxation_index: Composite term index
Data Splits
- Full dataset: 200 examples
Dataset Creation
Source Data
Synthetic data generated for demonstrating credential relaxation 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{credential-relaxation2026, title={{credential relaxation Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }
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