Leading indicators of debt pressure: a South African application

Q4 Economics, Econometrics and Finance Journal for Studies in Economics and Econometrics Pub Date : 2022-01-02 DOI:10.1080/03796205.2022.2060297
J. Fedderke, Wei-Ting Yang
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Abstract

Abstract As South Africa’s national debt has been on a steady upward trend since the late 2000s, this paper aims to construct an Early Warning System (EWS) using logit regressions to predict the likelihood of future public sector and private sector debt pressure. Results show that real GDP growth and the exchange rate matter for the prediction of private sector debt pressure. Government expenditure and real GDP growth are the most important predictors of public sector debt pressure. The implication of the net substantive magnitude of leading indicator impacts is that private debt pressure is principally structural, and public debt pressure is a reflection of discretionary policy choices. Early warnings from all four model predictions satisfy statistical reliability criteria. The best performing model is the public sector model for excessive debt accelerations, capturing 61.54% of the actual high-pressure events with a precision of 72.73%.
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债务压力的主要指标:南非的应用
自2000年代末以来,南非的国债一直处于稳步上升的趋势,本文旨在利用logit回归构建一个预警系统(EWS)来预测未来公共部门和私营部门债务压力的可能性。结果表明,实际GDP增长和汇率对私营部门债务压力的预测很重要。政府支出和实际GDP增长是公共部门债务压力的最重要预测指标。领先指标影响的净实质性量级的含义是,私人债务压力主要是结构性的,而公共债务压力则反映了自由裁量的政策选择。所有四种模型预测的早期预警都满足统计可靠性标准。表现最好的模型是公共部门过度债务加速模型,捕获了61.54%的实际高压事件,精度为72.73%。
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来源期刊
Journal for Studies in Economics and Econometrics
Journal for Studies in Economics and Econometrics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
0.80
自引率
0.00%
发文量
14
期刊介绍: Published by the Bureau for Economic Research and the Graduate School of Business, University of Stellenbosch. Articles in the field of study of Economics (in the widest sense of the word).
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