Online Labour Index 2020: New ways to measure the world's remote freelancing market
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Cited by:
- Fung, Esabella, 2023. "A machine learning approach for assessing labor supply to the online labor market," MPRA Paper 118844, University Library of Munich, Germany.
- Brooke, Sian & Rao, Aliya, 2024. "Designing for justice in freelancing: testing platform interventions to minimise discrimination in online labour markets," LSE Research Online Documents on Economics 122152, London School of Economics and Political Science, LSE Library.
- Stephany, Fabian & Teutloff, Ole, 2024. "What is the price of a skill? The value of complementarity," Research Policy, Elsevier, vol. 53(1).
- Nwaobi, Godwin, 2024. "Gig Sector in the African Economy: Frameworks, Challenges and Prospects," MPRA Paper 120532, University Library of Munich, Germany.
- Fietz, Katharina & Lay, Jann, 2023. "Digitalisation and labour markets in developing countries," GIGA Working Papers 335, GIGA German Institute of Global and Area Studies.
- Evan Hurwitz & George Cevora, 2021. "Forecasting performance of workforce reskilling programmes," Papers 2107.10001, arXiv.org.
- Stephany, Fabian & Teutloff, Ole & Lehdonvirta, Vili, 2022. "What is the price of a skill? Revealing the complementary value of skills," MPRA Paper 114874, University Library of Munich, Germany.
- Saara Hämäläinen & Vaiva Petrikaitė, 2024. "Prediction algorithms in matching platforms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 78(3), pages 979-1020, November.
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This paper has been announced in the following NEP Reports:- NEP-CIS-2021-05-24 (Confederation of Independent States)
- NEP-PAY-2021-05-24 (Payment Systems and Financial Technology)
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