Re-examining public debt and current account dynamics: SVAR evidence from Ethiopia

Purpose - Public debt management is now an integral part of overall macroeconomic management in many developing and emerging market economies. Preventing unsustainable debt accumulation and maintaining healthy fiscal profile begins with understanding its key drivers both in the short and in the long run. The purpose of this paper is to analyze public debt and current account dynamics in Ethiopia. Design/methodology/approach - This study applies structural vector auto-regressive (SVAR) model on annual time series data to study general government debt and current account dynamics in Ethiopia for the period 1980–2018. Findings - Both the impulse response and forecast error variance decomposition results confirm that fiscal balance exerts the strongest influence on both government debt and current account balance in the short run. In addition, own shock as well as shocks stemming from gross fixed capital formation and growth have significant effects on general government debt. The findings were robust to alternative data transformation, differing Choleski ordering of the model variables, and inclusion of exogenous deterministic terms that capture changes in the political landscape. Practical implications - The most important implication is that since fiscal balance is the strongest determinant of both public debt and current account balance, public investment efficiency is relevant here than anywhere else in the national economy. A recent study by Barhoumi et al. (2018) found that the sub-Saharan region lags behind its peers in terms of public sector investment efficiency with inefficiency gap of as large as 54% depending on the indicator variable for public investment output. Improving public investment spending efficiency would reduce government debt by enhancing productivity and growth – which has significant negative effect on public debt. Originality/value - First, the few studies conducted on Ethiopia are dominated by single equation specifications and do not account for the possibility of endogenous feedback effects among the model variables. Second, still equally important is the role of rising gross fixed capital formation in Ethiopia, which increased from about 13% (relative to GDP) in the 1980s to about 35% in the 2010s. Ignoring this variable amounts to a major model misspecification when analyzing short-run macro dynamics in low-income economies. Finally, the paper complements existing limited studies on Ethiopia by comparing the strength of shock propagation mechanisms using alternative data transformation techniques.