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We examine the nexus between financial inclusion and inflation targeting monetary policy effectiveness in West African Economic and Monetary Union countries by employing a heterogenous panel approach that enables us to delineate the responses to policy innovations related to idiosyncratic country‐specific shocks, common shocks, and composite shocks. We find that these shocks significantly affect inflation and financial inclusion but with varying magnitudes, signs, time of responses, and persistence. We further demonstrate that inflation targeting monetary policy is differently associated with the various dimensions and indicators of financial inclusion. Overall financial inclusion shocks temporarily increase inflation; deposit shocks reduce inflation; and credit shocks increase inflation. Central bank policy rate differently responds across time horizon to overall financial inclusion shocks; and it increases due to credit shocks highlighting that the monetary authority responds to credit shocks by implementing contractionary monetary policy. Our results highlight that monetary policy aimed at promoting inclusive financial services and responses of monetary policy to financial inclusion should be specific to the dimensions of financial inclusion. [ABSTRACT FROM AUTHOR]

Purpose - This paper examines the effect of global economic policy uncertainty (EPU) on emerging markets (EMs) export flows. Methods - This paper uses a structural panel vector autoregression modeling approach to capture country interdependencies and the likelihood that EMs' responses are heterogeneous and dynamic. An unbalanced monthly panel data from 2003:01 to 2019:12 is used to estimate impulse responses and variance decompositions not only for the entire panel data but also for each EM. Findings - The results show that global EPU has a persistent and negative effect on exports, while foreign income and the exchange rate increase export volumes in EMs. Given the different responses of EMs to uncertainty shocks, the second-stage regression estimates suggest that greater sectoral export diversification in an EM can potentially reduce the unfavorable impact of global EPU on their export flows. Meanwhile, the higher technology content of exports leads to a multiplication of global EPU transmissions. Implication - These findings advance the literature by highlighting the importance of accounting for the transmission effect of global EPU in EMs by considering country heterogeneity. Originality - This is the sole paper examining the factors that mitigate or amplify GEPU impacts on export flows by estimating second-step ordinary least square equations. [ABSTRACT FROM AUTHOR]

This paper improves the existing literature on the shrinkage of high dimensional model and parameter spaces through Bayesian priors and Markov Chains algorithms. A hierarchical semiparametric Bayes approach is developed to overtake limits and misspecificity involved in compressed regression models. Methodologically, a multicountry large structural Panel Vector Autoregression is compressed through a robust model averaging to select the best subset across all possible combinations of predictors, where robust stands for the use of mixtures of proper conjugate priors. Concerning dynamic analysis, volatility changes and conditional density forecasts are addressed ensuring accurate predictive performance and capability. An empirical and simulated experiment are developed to highlight and discuss the functioning of the estimating procedure and forecasting accuracy. [ABSTRACT FROM AUTHOR]

This paper improves the existing literature on the shrinkage of high dimensional model and parameter spaces through Bayesian priors and Markov Chains algorithms. A hierarchical semiparametric Bayes approach is developed to overtake limits and misspecificity involved in compressed regression models. Methodologically, a multicountry large structural Panel Vector Autoregression is compressed through a robust model averaging to select the best subset across all possible combinations of predictors, where robust stands for the use of mixtures of proper conjugate priors. Concerning dynamic analysis, volatility changes and conditional density forecasts are addressed ensuring accurate predictive performance and capability. An empirical and simulated experiment are developed to highlight and discuss the functioning of the estimating procedure and forecasting accuracy.

This paper improves a standard Structural Panel Bayesian Vector Autoregression model in order to jointly deal with issues of endogeneity, because of omitted factors and unobserved heterogeneity, and volatility, because of policy regime shifts and structural changes. Bayesian methods are used to select the best model solution for examining if international spillovers come from multivariate volatility, time variation, or contemporaneous relationship. An empirical application among Central-Eastern and Western Europe economies is conducted to describe the performance of the methodology, with particular emphasis on the Great Recession and post-crisis periods. A simulated example is also addressed to highlight the performance of the estimating procedure. Findings from evidence-based forecasting are also addressed to evaluate the impact of an ongoing pandemic crisis on the global economy.

In this paper we study the determinants of lending margins paid by euro‐area corporates for their bank loans. Across two separate groups of countries (distressed and non‐distressed) we examine whether lending margins have been affected by structural changes in the banking sector, the credit and liquidity position of banks and the costs of funding in the corporate and sovereign bond markets. The role of ECB policies with respect to narrowing down the fragmentation in the bank lending channel is also investigated through a structural panel VAR model for the period 2003:1 to 2014:12. [ABSTRACT FROM AUTHOR]

This article explores the impact of changes in income inequality on household indebtedness using Pedroni's heterogeneous panel VAR. As a result, we find evidence in support of large cross-country heterogeneity in the responses of household leverage to income inequality shocks. We also find that such heterogeneity stems from differences in the strength of financial regulations and supervision. [ABSTRACT FROM AUTHOR]

This article is a panel VAR study of demand and supply shocks in the USA using state-level data where structural shocks are decomposed into state idiosyncratic and common components. Decomposition suggests that in all instances, idiosyncratic state shocks rather than common shocks have larger impact and explain most variation in both the state-level unemployment rate and real gross state product. Further, demand shocks are the primary driving force in unemployment rate fluctuations, while both demand and supply are important in output movements to varying degree of impact and importance depending on the use of quarterly or annual data. [ABSTRACT FROM AUTHOR]

This paper improves a standard Structural Panel Bayesian Vector Autoregression model in order to jointly deal with issues of endogeneity, because of omitted factors and unobserved heterogeneity, and volatility, because of policy regime shifts and structural changes. Bayesian methods are used to select the best model solution for examining if international spillovers come from multivariate volatility, time variation, or contemporaneous relationship. An empirical application among Central-Eastern and Western Europe economies is conducted to describe the performance of the methodology, with particular emphasis on the Great Recession and post-crisis periods. A simulated example is also addressed to highlight the performance of the estimating procedure. Findings from evidence-based forecasting are also addressed to evaluate the impact of an ongoing pandemic crisis on the global economy. [ABSTRACT FROM AUTHOR]