This paper examines the effect of access to external sources of finance on employment growth in small and micro-manufacturing enterprises in Ethiopia. Based on a sample of 1321 respondents covering the 11 zonal capital towns of Amhara region, the key findings include: (1) A large fraction (60.5%) of small and micro-manufacturing enterprises are financially constrained. (2) Access to external finance has positive and significant effect on employment growth-specifically in the metal-wood work subsector, in family-/groupoperated enterprises, and in those enterprises that started operation with a mix of own capital and borrowed money. (3) Even though a significant fraction of the enterprises in the sample reported having exposure to some type of industrial extension service, this exposure has no significant effect on employment growth. (4) Women participation in the management/ownership of small and micro-manufacturing enterprises is relatively low (about 29%), and male-operated enterprises are significantly more likely to report expansion in employment than their female-operated counterparts.

This paper explores the determinants of debt financing choices among small-scale manufacturing enterprises in Ethiopia-with special focus on the role of government policies. The study exploits survey data gathered from 1321 enterprises in the Amhara region of Ethiopia and employs conditional mixed process (CMP) system estimation technique to test the effect of public policy on firm debt levels. The relevant econometric findings confirm that policy activism through the provision of training and related intervention schemes boosts debt utilization in startup finance mix while it lowers the probability of firms' falling into higher debt levels over time. The results also show that enterprises that had some debt mix in their startup capital are more likely to be in higher debt categories than those enterprises that kick start exclusively with their own internal resources. In addition, the findings also reveal that self-reported profitability, firm age, and ownership structure have strong effects on the degree of firms' indebtedness. One major bottleneck to the survival and growth of SMEs is their relatively large default rates. One strand of the existing literature shows that firm default rates are strongly correlated with debt levels. As default rates driven by high debt levels have devastating implications for creditors, debtors, and regulators, it is very important to understand the determinants of debt levels. This study is the first to apply conditional mixed process system estimation on firm level data from Ethiopia to test the effects of government policies on debt level choices.

In the last few years, macroeconomic modeling has emphasized the role of credit market frictions in magnifying and transmitting nominal and real disturbances and their implication for macro-prudential policy design. In this paper, I construct a modest New Keynesian general equilibrium model with active banking sector. In this setup , the financial sector interacts with the real side of the economy via firm balance sheet and bank capital conditions and through their impact on investment and production decisions. I rely on the financial accelerator mechanism due to Bernanke et al. (1999) and combine it with a bank capital channel as demonstrated by Aguiar and Drumond (2007). The resulting model is calibrated from the perspective of a low-income economy reflecting the existence of relatively high investment adjustment cost, strong fiscal dominance, and underdeveloped financial and capital markets. The main objective of this exercise is to see whether the financial accelerator mechanism documented under interest-rate-rule based simulations could be replicated under a situation where the central bank uses money growth rule in stabilizing the national economy. The findings are broadly consistent with previous studies that demonstrated stronger role for credit market imperfections in amplifying and propagating monetary policy shocks.

Purpose The purpose of this paper is to compare business cycle fluctuations in Ethiopia under interest rate and money growth rules. Design/methodology/approach In order to achieve this objective, the author constructs a medium-scale open economy dynamic stochastic general equilibrium (DSGE) model. The model features several nominal and real distortions including habit formation in consumption, price rigidity, deviation from purchasing power parity and imperfect capital mobility. The paper also distinguishes between liquidity-constrained and Ricardian households. The model parameters are calibrated for the Ethiopian economy based on data covering the period January 2000–April 2015. Findings The main result suggests that: the model economy with money growth rule is substantially less powerful or more muted for the amplification and transmission of exogenous shocks originating from government spending programs, monetary policy, technological progress and exchange rate movements. The responses of output to fiscal policy shocks are relatively stronger under autarky which appears to confirm the findings of Ilzetzki et al. (2013) who suggest bigger multipliers in self-sufficient, closed economies. With regard to positive productivity shock, however, the model with interest rate feedback rule generates a decline in output and an increase in inflation, which are at odds with conventional empirical regularities. Research limitations/implications The major implication is that a central bank regulating some measure of monetary stocks should not expect (fear) as much expansion (contraction) in output following currency devaluation (liquidity withdrawal) as a sister central bank that relies on an interest rate feedback rule. As emphasized by Mishra et al. (2010) the necessary conditions for stronger transmission of interest-rule-based monetary policy shocks are hardly existent in emerging and developing economies targeting monetary aggregates; hence the relatively weaker responses of output and inflation in the model economy with money growth rule. Monetary policy authorities need to be cautious when using DSGE models to analyze business cycle dynamics. Quite often, DSGE models tend to mimic the proverbial “crooked house” built to every man’s advise. Whenever additional modification is made to an existing baseline model, previously established regularities break down. For instance, this paper documented negative response of output to technology shock. Such contradictions are not uncommon. For example, Furlanetto (2006) and Ramayandi (2008) have also found similarly inconsistent responses to fiscal and productivity shocks, respectively. Originality/value Using DSGE models for research and teaching purposes is not common in developing economies. To the best of the author’s knowledge, only one other Ethiopian author did apply DSGE model to study business cycle fluctuation in Ethiopia albeit under the implausible assumption of perfect capital mobility and a central bank following interest rate rule. The contribution of this paper is that it departs from these two unrealistic assumptions by allowing international risk premium as a function of the net foreign asset position of the country and by applying money growth rule which closely mimics the behavior of central banks in low-income economies such as Ethiopia.

PurposePublic 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/approachThis 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.FindingsBoth 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 implicationsThe 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/valueFirst, 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.