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Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform
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“In terms of labor market outcomes, GPTs typically create new occupations (e.g., computer-related) or relocate the workforce to other occupations (e.g., workers in routine roles shifting to more analytic occupations) (Brynjolfsson et al. 2018).”
From Skill-Biased Technical Change, Again? Online Gig Platforms and Local Employment (2025) · cites this paper as Brynjolfsson et al. 2018
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Metadata
- Authors
- Brynjolfsson, E., Hui, X., & Liu, M.
- Affiliations
- Institute for Operations Research and the Management Sciences (US)
- Washington University in St. Louis (US)
- Venue
- Management Science
- Publisher
- National Bureau of Economic Research
- Published
- 2018-08
- Volume
- 65
- Issue
- 12
- Pages
- 5449-5460
- ISSN
- 0025-1909 (ISSN-L)
- OpenAlex
- W2888230425
- Cited by
- 408
- References
- 46
- Citations by year
- 2026: 60 · 2025: 78 · 2024: 64 · 2023: 71 · 2022: 50 · 2021: 36 · 2020: 30 · 2019: 16 · 2018: 2
- FWCI
- 46.10
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Management Science (publishedVersion)
- SSRN Electronic Journal (publishedVersion)
- National Bureau of Economic Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Topics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
- Social Sciences › Business, Management and Accounting › Business and International Management › E-commerce and Technology Innovations
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- machine translation, international trade, language barriers, translation costs, artificial intelligence, digital platforms, exports, treatment effect heterogeneity, economic efficiency
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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