主权违约和国际货币基金组织信贷使用的经济和政治决定因素:2010 年后的稳健性评估

IF 2.1 Q2 ECONOMICS Economies Pub Date : 2024-07-09 DOI:10.3390/economies12070181
Lina Maddah, Hassan Sherry, Hussein Zeaiter
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引用次数: 0

摘要

根据国际货币基金组织的数据,目前的公共债务占全球债务的近 40%,是自 20 世纪 60 年代中期以来的最高份额。尽管对令人担忧的主权违约问题进行了大量研究,但相关文献仍然没有定论。本文研究了 2010 年后国际货币基金组织信贷使用的宏观经济、金融和政治决定因素。我们研究的主要贡献在于其时间分析,因为我们调查了不同因素的稳健性是如何演变的。通过利用 2010-2021 年期间 216 个国家的广泛数据集,并采用极端边界分析(EBA)方法的变体,我们的研究揭示了国际货币基金组织信贷与外债比率的波动可归因于总储备与外债比率的变化,这种关系在统计上是显著和可靠的。然而,2010 年后,高政治风险似乎不再影响国际货币基金组织的决策。此外,我们的研究结果表明,将债务拖欠程度低的国家排除在外可增强结果的稳健性。这些研究结果有助于更好地理解国际货币基金组织在当代全球经济环境中使用信贷的复杂性,并为国际货币基金组织的贷款选择提供了新的视角。
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Economic and Political Determinants of Sovereign Default and IMF Credit Use: A Robustness Assessment Post 2010
According to the IMF, the current public debt makes up nearly 40 percent of the global debt, marking the highest share since the mid-1960s. Despite the vast research on alarming levels of sovereign default, the literature remains inconclusive. This paper investigates macroeconomic, financial, and political determinants of IMF credit use in the post-2010 era. The main contribution of our study lies in its temporal analysis as we investigate how the robustness of different factors has evolved. By utilizing an extensive dataset on 216 countries over the period of 2010–2021 and employing a variant of the Extreme Bounds Analysis (EBA) method, our study reveals that fluctuations in the IMF credit to external debt ratio can be attributed to changes in the total reserves to external debt ratio, where this relationship is statistically significant and reliable. However, high political risks seem to no longer affect the IMF’s decision, post 2010. Furthermore, our findings demonstrate that excluding countries with low debt arrears strengthens the results’ robustness. These findings contribute to a better understanding of the complexities surrounding IMF credit use in the contemporary global economic scene and offer new standpoints on the Fund’s lending choices.
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来源期刊
Economies
Economies Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
4.00
自引率
11.50%
发文量
271
审稿时长
11 weeks
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