Chalaux, T., & Turner, D. [ca. 2024]. Doombot versus other machine-learning methods for evaluating recession risks in OECD countries. In OECD Economics Department Working Papers [Cd]. Paris: OECD Publishing. https://doi.org/10.1787/1 a8 c0 a92-en
ISO-690 (author-date, English)CHALAUX, Thomas und TURNER, Dave, 2024. Doombot versus other machine-learning methods for evaluating recession risks in OECD countries. Paris: OECD Publishing.
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.
Mohr Siebeck - Recht (Deutsch - Österreich)Chalaux, Thomas/Turner, Dave: Doombot versus other machine-learning methods for evaluating recession risks in OECD countries, Paris 2024.
Emerald - HarvardChalaux, T. und Turner, D. (2024), Doombot versus other machine-learning methods for evaluating recession risks in OECD countries, OECD Economics Department Working Papers, Bd. , OECD Publishing, Paris, verfügbar unter:https://doi.org/10.1787/1 a8 c0 a92-en.