We build a model of the euro area incorporating financial market frictions at the level of firms and households. Entrepreneurs borrow from financial intermediaries in order to purchase business capital, in the spirit of the "financial accelerator" literature. We also introduce two types of households that differ in their degree of time preference. All households have preferences for housing services. The impatient households are faced with a collateral constraint that is a function of the value of their housing stock. Our aim is to provide a unified framework for policy analysis that emphasizes financial market frictions alongside the more traditional model channels. The model is estimated by Bayesian methods using euro area aggregate data and model properties are illustrated with simulation and conditional variance and historical shock decomposition. JEL Classification: C11, C32, E32, E37

Financial market frictions in a model of the euro area

We propose a solution to address the observed negative sign on the marginal cost variable in new Keynesian Phillips curve estimations. Our solution is based on an elaborate specification of the cost function faced by firms and the formulation of a reduced-form production function which is characterised by non-linear input-output relations. The resultant Phillips curve features the standard hybrid expectational term, labour share, output gap, speed-limit effects and supply shock variables. In general, GMM estimations of the model for developed and emerging markets yield a positive and significant coefficient on the labour share and the output gap. We conclude that supply shock variables are essential to the empirical validity of the cost-based Phillips curve.

A New Keynesian Triangle Phillips Curve

This paper examines the evolution and the underlying forces of the business cycle co‐movements among seven African (A‐7) countries over the period 1970–2016. These countries accounted for over 60% of regional GDP, have abundant natural resources, access to the global capital market and widely viewed as potential drivers of regional (or “African”) business cycle. We model the national business cycle using real output, consumption and investment. We employ a dynamic factor model to decompose fluctuations in these macro‐variables into a regional, country‐specific and idiosyncratic components using Bayesian methods. We also analyse the relative importance of some notable drivers of business cycle fluctuations found in the literature. We find that the idiosyncratic component is dominating cyclical fluctuations in the A‐7 countries, while country‐specific and regional factors play a negligible role suggesting the inexistence of a common regional cycle despite deepening intra‐African trade. Among the driving variables, the terms‐of‐trade shocks exert greater influence on the A‐7 business cycle, while exchange rate movements and changes in money supply explain sizeable fluctuations in consumption and investment in most of the A‐7 countries. Shocks associated with changes in relative domestic oil prices, monetary and fiscal policies cause large output fluctuations.

The emergence of regional business cycle in Africa—a reality or myth? A Bayesian dynamic factor model analysis

Recent years’ global shocks (e.g., the 2008 financial crisis and the COVID-19 pandemic) and environmental shocks — such as natural disasters — have heightened the vulnerability of developing countr...

/pdf/productive-capacities-economic-growth-and-economic-growth-agyh1fw7da.pdf

Productive Capacities, Economic Growth and Economic Growth Volatility in Developing Countries: Does Structural Economic Vulnerability Matter?

Using annual data for Colombia over the last thirty years and a new battery of econometric techniques, we test opposing theories that explain macroeconomic fluctuations: The neoclassical synthesis, which posits that, in the presence of temporary price rigidity, an unanticipated monetary expansion produces output gains that erode over time with increases in the price level; and an alternative explanation, which focuses on "real" technological or preference shocks as the sources of output changes. The coefficients from these systems are used to examine two basic propositions: the long-run neutrality of nominal quantities with respect to permanent movements in the money stock; and the short-run sensitivity of output to inflation.

Output Fluctuations and Monetary Shocks

Macroeconomic shocks and fluctuations in African economies

This paper investigates the effectiveness of sovereign wealth funds (SWFs) in reducing macroeconomic volatility occasioned by oil price shocks in oil‐exporting African countries. The oil price boom‐bust cycles complicate fiscal operations, distort budget implementation and trigger macroeconomic instability in oil exporting African countries. We formulate and simulate a dynamic stochastic general equilibrium model that features SWFs and the fiscal sector. We compare a baseline model without the SWFs to a model with the SWFs. The simulation analysis suggests that the establishment of SWFs can mitigate the vulnerability of oil‐exporting African countries to oil price shocks. In particular, SWFs can reduce fiscal expenditure and real exchange rate volatility. Furthermore, SWFs can stabilise the level of external debt and reduce the level of money supply thereby sterilising the oil revenue. Since oil price shock is one of the important external shocks inducing economic instability in oil‐exporting African countries, the creation of SWFs can insulate these economies from external shocks.

Sovereign wealth funds and macroeconomic stability in oil-exporting African countries

Purpose — This study assesses the symmetric and asymmetric effects of exchange rate volatility on trade flows in Nigeria.Method — The study employs quarterly data and covers the period 1995q1 to 2020q4. The data were sourced from International Financial Statistics (IFS) and Central Bank of Nigeria (CBN) websites.  The paper applies both linear ARDL and non-linear ARDL (NARDL) models. These methods are employed to evaluate the symmetric and asymmetric effects of exchange rate volatility.Result — The results from linear ARDL model show that exchange rate volatility has only significant short-run effect on export while it has both short-run and long run effects on the imports. The findings from the non-linear ARDL suggest that exchange rate volatility has neither short run nor long run asymmetric effects on exports. However, the non-linear ARDL model reveals short run and long run asymmetric effects of exchange rate volatility on imports. The findings show that increase in volatility reduces imports while decrease in volatility boosts imports.Contribution — Previous studies have only investigated the symmetric effects of exchange rate volatility on trade balance in Nigeria. This study contributes to the literature by examining the symmetric and asymmetric effects of exchange rate volatility on trade flows, using the GARCH-based measure of exchange rate volatility.

/pdf/asymmetric-effects-of-exchange-rate-volatility-on-trade-13ylpc0m.pdf

Asymmetric effects of exchange rate volatility on trade flows in Nigeria

The paper formulates and estimates an open economy monetary DSGE model to investigate the quantitative significance of the financial accelerator mechanism in business cycle fluctuations for African countries. We employ the Bayesian technique to evaluate the statistical importance of the financial accelerator channel in African countries. We compare the model with financial accelerator model to the model without financial accelerator. The estimation shows that financial accelerator channels are empirically important in African economies. The marginal likelihood results clearly favour the model with financial accelerator in African economies. Moreover, the results show that the financial accelerator channel dampens the expansionary effects of exchange rate depreciation in African economies. African countries should deepen their domestic debt markets to minimize their vulnerability to exchange rate shocks.

An estimated financial accelerator model for small-open African economies

The study investigates alternative monetary policy rules in commodity-exporting African countries, by formulating, estimating and simulating a DSGE model for 5 African countries. We apply the Bayesian technique for our estimation and utilize impulse response functions to evaluate alternative monetary policy rules to commodity price shocks. Our results show that commodity price shocks influence business cycle fluctuations in African countries, whereas the results from alternative monetary policy rules are mixed. The findings show that nominal GDP targeting (NGDPT) is the best policy rule to minimize output volatility and price variations against positive commodity price shocks. However, if the objective is to minimize the effects of positive commodity price shocks on the exchange rate, the inflation targeting (IT) is the best policy rule. Further, the findings shows that IT and NGDPT are the best policy rules to stabilize output and prices against negative commodity price shocks while exchange rate targeting (ERT) is the best policy rule to stabilize exchange rate against negative commodity price shocks.

Commodity price shocks and monetary policies in commodity exporting African countries - A DSGE analysis

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