We study the impact of climate volatility on economic growth exploiting data on 133 countries between 1960 and 2005. We show that the conditional (ex ante) volatility of annual temperatures increased steadily over time, rendering climate conditions less predictable across countries, with...

This paper investigates the link between oil price uncertainty shocks and key macroeconomic indicators of a net oil importing country, South Africa. Monthly data covering the period 1990:01 to 2015:12 is used. The Structural Vector Autoregressive (SVAR) methodology is applied incorporating...

This paper investigates the effects of global economic uncertainty and trade policy-related uncertainty in the US in predicting the bond and equity flows to Turkey during the period from January 2008 to November 2019. We use the time-varying Granger-causality test to assess the ability of...

Employing Factor Augmented Vector Autoregression (FAVAR) model where factors are obtained using the principal component analysis (PCA) and the parameters of the model are estimated using Vector Autoregression framework, we analyse how changes in monetary policy variables impact inflation,...

The conflict between Russia and Ukraine that started in March 2014 led Western countries and Russia to impose economic sanctions on each other, including the euro zone members. The paper investigates the impact of the sanctions on the real side of the economies of Russia and the euro area. The...

This paper examines the transmission channels through which property markets propagate shocks to the real economy. Using a four-equation model which portrays the theoretical inter-linkages between real estate value and other components of the economy, our findings suggest that in the short run,...

This study examined the impact of monetary policy on economic growth in Nigeria. The secondary data used include the Money supply, economic growth, Credit to the private sector, Interest rate and Exchange rate. The Vector Error Correction model (VECM) was adopted as the estimation technique of...

This study employs a vector autoregressive (VAR) model to analyse how oil price shocks affect macroeconomic fundamentals in emerging economies. Findings from existing literature remain inconclusive how macroeconomic variables fare towards shocks, especially in emerging economies. The objective...

We propose a benchmark prior for the estimation of vector autoregressions: a prior about initial growth rates of the modeled series. We first show that the Bayesian vs frequentist small sample bias controversy is driven by different default initial conditions. These initial conditions are...

We evaluate the Smets-Wouters model of the US dynamically using indirect inference with a VAR representation of the main US data series. We find that the New Keynesian SW model is badly rejected by the data's dynamic properties and in particular cannot match the variability of the data. An...