成员国如何接受IMF的政策建议:最新情绪指数的结果

G. Fayad, Chengyu Huang, Y. Shibuya, Peng Zhao
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引用次数: 12

摘要

本文应用最先进的深度学习技术开发了第一个情绪指数,衡量成员国在第四条磋商时对IMF政策建议的接受程度。本文发现,虽然成员国当局基本上同意基金组织的建议,但在国家规模、对外开放程度、政策部门及其评估风险、政治制度和商品出口强度等方面存在差异。该报告还研究了在基金组织的金融安排或计划期间和之后,以及一国接受基金组织技术援助时,情绪是如何变化的。结果揭示了基金组织监督的关键方面,同时重新定义了基金组织如何看待其相关性、附加值和对成员国的吸引力。
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How Do Member Countries Receive IMF Policy Advice: Results from a State-of-the-Art Sentiment Index
This paper applies state-of-the-art deep learning techniques to develop the first sentiment index measuring member countries’ reception of IMF policy advice at the time of Article IV Consultations. This paper finds that while authorities of member countries largely agree with Fund advice, there is variation across country size, external openness, policy sectors and their assessed riskiness, political systems, and commodity export intensity. The paper also looks at how sentiment changes during and after a financial arrangement or program with the Fund, as well as when a country receives IMF technical assistance. The results shed light on key aspects on Fund surveillance while redefining how the IMF can view its relevance, value added, and traction with its member countries.
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