TY - JOUR
T1 - Leading indicators of debt pressure
T2 - a South African application
AU - Fedderke, Johannes
AU - Yang, Wei Ting
N1 - Publisher Copyright:
© 2022 Stellenbosch University.
PY - 2022
Y1 - 2022
N2 - 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%.
AB - 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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U2 - 10.1080/03796205.2022.2060297
DO - 10.1080/03796205.2022.2060297
M3 - Article
AN - SCOPUS:85134191872
SN - 0379-6205
JO - Journal for Studies in Economics and Econometrics
JF - Journal for Studies in Economics and Econometrics
ER -