Datasets:

EconomicTermDevelopments
/

gigcarity-economics

id int64 1 200	week int64 1 52	income_volatility float64 0.16 0.93	benefit_gap float64 0.16 0.9	schedule_instability float64 0.05 0.91	algorithmic_control float64 0.14 0.93	earnings_uncertainty float64 0.13 0.81	collective_voice_deficit float64 0.2 0.82	safety_net_access float64 0.05 0.94	gigcarity_index float64 0.32 0.76
1	52	0.548344	0.510098	0.454277	0.409865	0.339536	0.465961	0.411156	0.476006
2	17	0.655759	0.712484	0.542324	0.858363	0.611485	0.644694	0.750264	0.634128
3	3	0.576117	0.627245	0.588673	0.465247	0.410037	0.612719	0.125098	0.582657
4	22	0.888127	0.452866	0.888383	0.557573	0.563861	0.406433	0.452505	0.634854
5	32	0.555545	0.421991	0.530081	0.547942	0.314552	0.542872	0.407785	0.502622
6	6	0.509334	0.446441	0.634	0.81072	0.575085	0.673711	0.611581	0.58047
7	15	0.484705	0.703297	0.373293	0.78481	0.25976	0.650526	0.322318	0.564302
8	7	0.499491	0.577851	0.524659	0.76977	0.5232	0.407127	0.289295	0.57168
9	43	0.813438	0.545504	0.403033	0.853593	0.60102	0.566772	0.56608	0.626495
10	52	0.724874	0.617001	0.59293	0.461159	0.369409	0.4662	0.50488	0.550276
11	49	0.344253	0.490843	0.574073	0.628032	0.257158	0.484096	0.191113	0.49808
12	5	0.552685	0.299039	0.258446	0.885561	0.292307	0.436051	0.618409	0.461817
13	8	0.87862	0.901961	0.876964	0.550369	0.665149	0.51596	0.614495	0.711155
14	8	0.774013	0.720491	0.648157	0.55435	0.470004	0.412919	0.549457	0.600524
15	27	0.598616	0.417601	0.600673	0.565757	0.613076	0.423646	0.373452	0.548216
16	47	0.788971	0.482466	0.409754	0.773471	0.544777	0.5517	0.505424	0.597144
17	47	0.558215	0.331806	0.625078	0.509751	0.443136	0.607832	0.522592	0.50766
18	15	0.843387	0.504731	0.516609	0.701199	0.477552	0.460514	0.36591	0.609929
19	22	0.454192	0.404409	0.329395	0.728906	0.464335	0.278729	0.216547	0.485797
20	30	0.46478	0.461651	0.705673	0.450592	0.480068	0.429609	0.323502	0.51452
21	49	0.479939	0.530257	0.509551	0.537788	0.297078	0.355656	0.817274	0.434813
22	34	0.331678	0.518483	0.402289	0.519609	0.465402	0.388185	0.412433	0.449938
23	44	0.805384	0.365	0.538323	0.655483	0.447847	0.501331	0.54755	0.558866
24	13	0.727795	0.681589	0.886943	0.621179	0.610207	0.521306	0.239824	0.689973
25	33	0.788671	0.366718	0.490427	0.908923	0.573227	0.503342	0.486601	0.611025
26	48	0.595763	0.441129	0.60985	0.320355	0.400114	0.283313	0.177927	0.490588
27	5	0.658894	0.843655	0.35643	0.725302	0.224444	0.513891	0.215613	0.599751
28	31	0.651547	0.284585	0.144365	0.552307	0.541115	0.327471	0.228475	0.465806
29	24	0.784711	0.43697	0.694505	0.490534	0.481579	0.444838	0.618742	0.551869
30	28	0.512662	0.517533	0.335795	0.643756	0.405943	0.634842	0.370943	0.52315
31	16	0.649621	0.40248	0.912876	0.406636	0.548308	0.429449	0.444902	0.560026
32	16	0.665163	0.604552	0.397375	0.673757	0.292765	0.527613	0.581988	0.533441
33	42	0.807144	0.530151	0.53056	0.870673	0.408747	0.665205	0.700041	0.618709
34	28	0.369433	0.500308	0.319577	0.456703	0.26027	0.391247	0.436665	0.406265
35	36	0.256088	0.228578	0.484435	0.776098	0.3712	0.487662	0.406914	0.442159
36	42	0.619625	0.384457	0.418833	0.417396	0.303153	0.508337	0.591668	0.44907
37	52	0.203312	0.470934	0.053123	0.403722	0.336317	0.420129	0.161274	0.362691
38	49	0.736945	0.630877	0.8278	0.894626	0.670715	0.522206	0.654713	0.685041
39	13	0.671399	0.495313	0.553206	0.790881	0.598737	0.498925	0.661063	0.583133
40	1	0.687198	0.505409	0.673052	0.534385	0.66479	0.499509	0.560419	0.581708
41	38	0.598108	0.545484	0.68489	0.465118	0.307522	0.622179	0.450154	0.543751
42	22	0.659882	0.408794	0.218616	0.492198	0.39161	0.338301	0.399131	0.454417
43	39	0.845107	0.62483	0.291102	0.85163	0.490601	0.609855	0.587669	0.619297
44	4	0.781521	0.682375	0.376345	0.350237	0.691899	0.374735	0.13564	0.588643
45	50	0.41579	0.330835	0.280226	0.56754	0.48913	0.333275	0.408478	0.42397
46	14	0.808769	0.688341	0.632341	0.884265	0.585507	0.816569	0.783625	0.691785
47	40	0.509847	0.577326	0.463676	0.541027	0.312941	0.393804	0.45129	0.485501
48	16	0.540163	0.358081	0.419016	0.574396	0.48189	0.60291	0.413145	0.504752
49	47	0.580394	0.398463	0.274346	0.487512	0.579468	0.392625	0.432347	0.46966
50	44	0.400667	0.578928	0.497903	0.739865	0.373077	0.389233	0.357191	0.516605
51	16	0.563251	0.594342	0.466385	0.85227	0.454351	0.606181	0.938326	0.542833
52	22	0.487376	0.836526	0.333375	0.367463	0.406603	0.30333	0.426915	0.479286
53	26	0.743529	0.598899	0.525895	0.726286	0.477588	0.676238	0.549348	0.617885
54	49	0.653093	0.61212	0.375966	0.390449	0.513884	0.360756	0.394556	0.509166
55	12	0.429209	0.614248	0.489354	0.729951	0.576863	0.5401	0.272297	0.576229
56	40	0.26676	0.433537	0.515067	0.462018	0.335846	0.240343	0.69549	0.368344
57	12	0.618638	0.590429	0.230112	0.607556	0.504289	0.662199	0.661167	0.521483
58	19	0.783838	0.801847	0.831995	0.270357	0.542369	0.475657	0.634182	0.603545
59	14	0.596308	0.649479	0.491111	0.473665	0.64524	0.228463	0.412742	0.53129
60	30	0.331307	0.584403	0.419523	0.392218	0.401898	0.347355	0.626782	0.408486
61	20	0.728401	0.61331	0.145131	0.809233	0.45071	0.538359	0.130058	0.599288
62	24	0.802375	0.586626	0.386686	0.72752	0.671663	0.423747	0.47755	0.608569
63	50	0.362709	0.390705	0.326061	0.719748	0.374443	0.466722	0.623008	0.434502
64	19	0.702615	0.448158	0.597443	0.863825	0.630506	0.486306	0.166758	0.651424
65	41	0.764087	0.548942	0.512728	0.528647	0.488417	0.39953	0.206177	0.582949
66	17	0.732195	0.501277	0.315089	0.655854	0.497326	0.653519	0.778378	0.535956
67	18	0.666856	0.423522	0.579425	0.677228	0.647557	0.617258	0.526807	0.589708
68	46	0.530557	0.434835	0.107679	0.905429	0.339764	0.494988	0.131854	0.522613
69	47	0.474657	0.456291	0.23932	0.700618	0.42305	0.380102	0.733716	0.436548
70	16	0.255432	0.498665	0.341218	0.366916	0.441052	0.456087	0.552971	0.389709
71	15	0.931783	0.499858	0.40923	0.695162	0.590007	0.553857	0.301367	0.641979
72	11	0.889272	0.815986	0.610532	0.584912	0.633591	0.631188	0.203921	0.718854
73	29	0.735399	0.643761	0.804681	0.860682	0.681968	0.64085	0.763109	0.682873
74	6	0.371938	0.574916	0.350153	0.74325	0.419244	0.724047	0.62756	0.508755
75	16	0.90309	0.804784	0.376557	0.515517	0.465701	0.438476	0.5782	0.595265
76	32	0.373754	0.3488	0.433154	0.306456	0.377385	0.297289	0.403816	0.380813
77	40	0.644053	0.511894	0.291068	0.697168	0.45724	0.567479	0.491613	0.536815
78	18	0.61953	0.456457	0.524316	0.386514	0.498973	0.416887	0.484364	0.493652
79	44	0.767854	0.743247	0.378565	0.424506	0.430432	0.449378	0.526266	0.546361
80	30	0.32338	0.580634	0.149333	0.537043	0.514012	0.360502	0.549075	0.414445
81	16	0.825719	0.625743	0.497138	0.656092	0.452034	0.670724	0.530521	0.621515
82	34	0.754428	0.179795	0.54257	0.753672	0.523063	0.366093	0.360108	0.546888
83	3	0.771346	0.7059	0.51349	0.74255	0.276463	0.548752	0.489988	0.607937
84	19	0.90194	0.708679	0.609343	0.81084	0.61772	0.447239	0.383497	0.698265
85	40	0.678667	0.570717	0.475629	0.645374	0.430098	0.482722	0.13841	0.592593
86	10	0.758704	0.812953	0.713803	0.813914	0.536412	0.681507	0.408668	0.717255
87	23	0.31567	0.358718	0.389261	0.48405	0.436253	0.406706	0.131248	0.440504
88	42	0.805048	0.697601	0.614755	0.795464	0.424725	0.482666	0.423834	0.652469
89	39	0.617836	0.528426	0.685222	0.633278	0.565581	0.401024	0.45969	0.575395
90	6	0.434553	0.711765	0.531379	0.56575	0.486721	0.522543	0.393461	0.547472
91	4	0.650503	0.553666	0.450106	0.5583	0.613269	0.489451	0.317468	0.571609
92	18	0.521992	0.5126	0.731058	0.782301	0.425484	0.244793	0.732511	0.521113
93	3	0.518104	0.456058	0.328443	0.43249	0.16668	0.263361	0.509509	0.392424
94	35	0.902449	0.511947	0.483849	0.267801	0.386553	0.512956	0.64672	0.516257
95	44	0.784657	0.655541	0.524409	0.725659	0.312417	0.376392	0.312031	0.602794
96	24	0.461059	0.48166	0.48711	0.510394	0.406737	0.562257	0.32261	0.503154
97	40	0.565864	0.54476	0.582645	0.289283	0.530365	0.394129	0.342962	0.504833
98	24	0.77345	0.304185	0.580315	0.50374	0.477892	0.378217	0.597289	0.508206
99	51	0.754097	0.785852	0.544106	0.448513	0.638699	0.555428	0.628392	0.604949
100	37	0.310639	0.564054	0.383955	0.575033	0.126092	0.456409	0.705812	0.397454

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Gigcarity Economics Dataset

Dataset Description

Summary

Synthetic 200-row dataset for Gigcarity 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 worker-period id
week: Synthetic weekly labor observation
income_volatility: Short-horizon earnings volatility
benefit_gap: Gap in access to employment-linked benefits
schedule_instability: Unpredictability in work scheduling
algorithmic_control: Degree of platform algorithmic management control
earnings_uncertainty: Uncertainty around expected earnings
collective_voice_deficit: Lack of collective bargaining/voice mechanisms
safety_net_access: Access to social insurance and safety nets
gigcarity_index: Composite term index

Data Splits

Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating Gigcarity 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{gigcarity2026, title={{Gigcarity Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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