南部非洲发展共同体债务危机预测

Pub Date : 2022-08-25 DOI:10.1177/22338659221120074
Crispen Chirume
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引用次数: 0

摘要

南部非洲发展共同体(南共体)的债务水平多年来一直在上升,因为各国进行基础设施项目和增加使用双边和私人信贷。虽然总的债务水平在南部非洲发展共同体关于宏观经济趋同的建议范围内,但人们越来越担心该区域一些国家可能违约,事实上有些国家已经违约。债务危机的频繁发生令人担忧。本研究试图从一组通常被认为在债务危机预测中很重要的变量中确定重要的预测因子。该研究将产出缺口、实际汇率、外债比率、大宗商品冲击和治理质量作为潜在的预测因素。对这些潜在的预测因子的实证研究结果在某种程度上是混合的,这部分是由于作者之间模型规范的差异造成的。本研究采用事件研究法和固定效应logistic回归法对公共债务违约概率进行建模。模型结果表明,治理指标和商品价格冲击(全球水平)并不像理论通常认为的那样是债务危机的统计显著预测因素。然而,外债、产出和实际汇率都很重要。实际产出被证明是债务危机最重要的预测指标之一。估计概率模型比随机模型表现得相对更好。
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Prediction of debt crisis in Southern African Development Community (SADC)
Debt levels in the Southern African Development Community (SADC) have been rising over the years as countries undertake infrastructure projects and the increased use of bilateral and private credit. Although on aggregate the debt levels are within SADC recommendations on macroeconomic convergence, there are growing fears that a number of countries in the region might default and indeed some are already in default. The frequent occurrence of debt crisis is a cause for concern. This research is an attempt to determine the significant predictors from a small set of variables commonly touted as important in debt crisis prediction. The research considered the output gap, real exchange rate, external debt ratios, commodity shocks and quality of governance as potential predictors. The factor variables being of particular interest Empirical findings on these potential predictors is somehow mixed, which partly is accounted for by the differences in model specifications from author to author. The research employed the event study and fixed effects logistic regression for modelling the probability of default of public debt. Results of the model illustrate that governance indicators and commodity price shocks (global level) were not statistically significant predictors of debt crisis as commonly suggested by theory. However the external debt, output and the real foreign exchange rate were all significant. Real output was shown to be one of the most important predictors of debt crisis. The estimated probability model fared relatively better than a random model.
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