External vulnerability and optimal monetary policy in Nigeria

Identifying efficient policy mix under different targeting regimes: A tale of two crises

In this thesis, I contribute to the growing literature on the linkage between real and financial sectors, and study how financial frictions affect responses of important economic variables to different shocks in a New-Keynesian dynamic stochastic general equilibrium (DSGE) framework.

[Author Affiliation]Chi-Young Choi, cychoi@uta.eduYoung Se Kim[Acknowledgment]The authors are grateful to coeditor Kent Kimbrough and two anonymous referees for constructive comments that helped to improve this article. The authors also wish to thank Steve Cecchetti, Kang Liu, Shin-Ichi Nishiyama, Margie Tieslau, Taka Tsuruga, and the seminar participants at the Academia Sinica, National Chung Cheng University, National Sun Yat-Sen University, National Taiwan University, Texas Tech University, and the University of Texas at Arlington for helpful comments and Vikas Kakkar for providing CPI data for Hong Kong. Any remaining errors are the authors'.1. IntroductionVariability in relative prices is known to be a major channel through which inflation can induce welfare costs by impeding an efficient allocation of resources in the economy. Consequently, substantial effort has been devoted in the literature to examining the link between relative price variability (RPV) and aggregate inflation. Although much of the existing theoretical and empirical literature points to a positive monotonic relationship, newer contributions suggest that the relationship between inflation and RPV is more complicated, particularly in terms of its sensitivity to the inflation regime.1The primary purpose of this study is to investigate whether the connection between inflation and RPV is influenced in an important way by the monetary policy framework chosen by a central bank. Specifically, this article focuses on exploring whether the adoption of an inflation targeting (IT) framework exerts any significant impact on RPV as measured by the standard deviations of sectoral inflation rates relative to the aggregate rate. Since it was first implemented in New Zealand more than two decades ago, the popularity of IT has spread, with some twenty-five countries worldwide implementing the framework to date (Freedman and Laxton 2009). The literature is now replete with studies pointing to reductions in both the level and the volatility of inflation in countries that have adopted IT (e.g., Mishkin and Schmidt-Hebbel 2007).2 While studies of the impact of IT on aggregate inflation performance are plentiful, little attention has been paid to the impact of IT on RPV.The question of whether and indeed how IT affects RPV is an important one for several reasons. First, exploring the potential connection between IT and RPV is a worthwhile exercise given the popularity of IT as a monetary framework and the centrality of RPV to the current generation of macromodels. The importance of RPV is recognized in standard New Keynesian Dynamic Stochastic General Equilibrium (DSGE) models, where the variance of relative prices is viewed as a useful summary statistic. As noted by Amano, Ambler, and Rebei (2007), for example, in DSGE models, the optimal rate of target inflation and the optimal variability of inflation relative to output depend on the quantitative effects of price dispersion on macroeconomic equilibrium. Second, answering the question helps us identify the driving force behind the change in RPV, distinguishing between IT adoption itself and its subsequent impact on inflation. If the relationship is monotonically positive, as is often believed in the literature, one should expect that IT adoption would bring about a decline in RPV in the same way as it has led to a decline in inflation. If the relationship is more complex, however, the effect of IT adoption on reducing RPV may hinge on the change in inflation regimes after IT adoption. Third, our answer to the question also sheds additional light on the empirical evidence for the relative effectiveness of IT across different stages of development. While there is strong evidence that developing countries benefit more from IT than industrial countries in combating inflation and its volatility (e.g., Petursson 2004; Lin and Ye 2009), we are aware of no empirical research that has assessed this issue with respect to RPV. …

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Monetary policy and commodity terms of trade shocks in emerging market economies

T he consequences of the decisions and policies taken for the reconstruction of Afghanistan during the past decade, showed that there should be paid more attention to the monetary policies. There is also a question that whether monetary policies have the potential to affect the production and inflation in Afghanistan or not. The aim of this paper is to explore this effect by designing a new Keynesian dynamic stochastic general equilibrium (DSGE) model. The DSGE model used in this paper is taken from the new Keynesian theoretical foundations. It has been addressed to the role of households, firms, the monetary policy of Da Afghanistan Bank, as well as aids of international institutions as shocks that have been able to allocate a particular role in the Afghanistan's economy to itself, with regard to nominal rigidities and monopoly competition in this model. The results show the impulse response functions of production is negative to the external aid shock, financial shock, exchange rate shock, technology shock and external shock and is positive to the monetary shock and cost-shock. An impulse response function of inflation is positive for all shocks except for technology shock.

The external finance premium in the Euro area: A dynamic stochastic general equilibrium analysis

We construct experimental economies, populated with human subjects, with a structure based on a nonlinear version of the New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model. We analyze the behavior of firms' pricing decisions in four different experimental economies. We consider how well the experimental data conform to a number of accepted empirical stylized facts. Pricing patterns mostly conform to these patterns. Most price changes are positive, and inflation is strongly correlated with average magnitude, but not the frequency, of price changes. Prices are affected negatively by the productivity shock and positively by the output gap. Lagged real interest rate has a negative effect on prices, unless human subjects choose the interest rate, or firms sell perfect substitutes in the output market. There is inertia in price setting, firms integrate wage increases into their prices, and there is evidence of adaptive behavior in price-setting in our laboratory economy. The hazard function for price changes, however, is upward-sloping, in contrast to most empirical studies.

New Keynesian dynamic stochastic general equilibrium (DSGE) models have been developed for monetary policy analysis in open economies. For this purpose, the basic model must be enriched with the sources of nominal and real rigidities which are capable of explaining the observed output and inflation persistence. Under this perspective, we use the Bayesian approach to estimate and compare alternative model specifications for the Brazilian economy with respect to two endogenous persistence mechanisms widely supported by the international empirical literature: habit formation and price indexation. Using data for the inflation target period, we conclude for the relevance of both mechanisms, although the evidence is unexpectly less robust for price indexation. Furthermore, impulse-response functions are built to describe the dynamic effects of domestic and foreign real and monetary shocks.

This paper develops a New Keynesian dynamic stochastic general equilibrium model with energy factors to study various channels through which China's economic fluctuations are linked to energy price shocks and to search for the optimal monetary policy to cope with energy price shocks. We conclude that there are channels through which changes in energy prices will have the following cause–effect relationships. First, a rise in energy price as a negative technology shock will raise the costs of providing capital services per unit of capital, thereby reducing output. Second, a rising energy price distorts the intertemporal choices of households and firms, creating downward pressure on the expected future return on capital. Third, an energy price shock places upward pressure on the marginal costs associated with an increase in inflation. Numerical simulation results show that a positive energy price shock has a positive effect on energy technology improvements. In addition, the effects of energy price shocks can be mitigated by nominal rigidities, and interest rate rules will determine the magnitude of those effects. Using the efficient frontier method, we also show that optimal monetary policy in China should help control energy price volatility.

Back to the Real Economy: The Effects of Risk Perception Shocks on the Term Premium and Bank Lending

Staggered price-setting, staggered wage-setting, and business cycle persistence

In this paper, we investigate the transmission mechanism of monetary and fiscal policy shocks on inflation and output in the presence of an informal economy in Nigeria. To achieve this, a New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model is modified to include informality in the labour and product market. The model is estimated using the Bayesian technique and the findings shows that in the case of a monetary policy shock, formal output tends to decline, while there is an expansion in informal output, at least in the short-run. The results also reveal that a fiscal policy shock brings about an initial decline in informal output. Hence, it is imperative for policymakers to strive to formalise the informal sector in order to ensure the effectiveness of monetary policy.

This article extends the standard New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model to agents who cannot smooth consumption (i.e. spenders) and are affected by external consumption habits. Although these assumptions are not new, their joint consideration strongly affects some theoretical and empirical results addressed by the recent literature. By deriving closed-form solutions, we identify different demand regimes and show that they are characterized by specific features regarding dynamic stability and monetary policy effectiveness. We also evaluate our model by stochastic simulations obtained from the Bayesian parameters estimates for the Group of Seven (G7) economies. From posterior impulse responses, we address the empirical relevance of the different regimes and provide comparative evidence on the heterogeneity of monetary policy effects among countries.

DSGE on the metaverse