Chalaux, T. und Turner, D. (2024) Doombot versus other machine-learning methods for evaluating recession risks in OECD countries [cd], OECD Economics Department Working Papers. Paris: OECD Publishing. doi:10.1787/1 a8 c0 a92-en.
Chicago Manual of Style 17th edition (full note)Chalaux, Thomas, und Dave Turner. Doombot versus other machine-learning methods for evaluating recession risks in OECD countries. Cd. OECD Economics Department Working Papers. Paris: OECD Publishing, [2024?], Paris: OECD Publishing, [2024?]. https://doi.org/10.1787/1 a8 c0 a92-en.
American Psychological Association 7th editionChalaux, T., & Turner, D. (ca. 2024). Doombot versus other machine-learning methods for evaluating recession risks in OECD countries [Cd]. In OECD Economics Department Working Papers. OECD Publishing. https://doi.org/10.1787/1 a8 c0 a92-en
Modern Language Association 9th editionChalaux, T., und D. Turner. „Doombot versus other machine-learning methods for evaluating recession risks in OECD countries“. OECD Economics Department Working Papers, cd, OECD Publishing, 2024, https://doi.org/10.1787/1 a8 c0 a92-en.
ISO-690 (author-date, Deutsch)CHALAUX, Thomas und Dave TURNER, 2024. Doombot versus other machine-learning methods for evaluating recession risks in OECD countries. Paris: OECD Publishing