This study assesses the global economic consequences of climate-related risk in three broad areas: (1) the macroeconomic impacts of physical climate risk due to chronic climate change associated with global temperature increases and climate-related extreme shocks; (2) the macroeconomic effects...

We assess the impact of oil shocks on euro-area macroeconomic variables by estimating a new-Keynesian small open economy model with Bayesian methods. Oil price is determined according to supply and demand conditions in the world oil market. We find that the impact of an increase in the price of...

This paper outlines the three-country New Keynesian Dynamic Stochastic General Equilibrium model of the National Bank of Belgium. The model is named BEMGIE for Belgian Economy in a Macro General and International Equilibrium model. It features imperfect market competition, standard real and...

This paper presents a two-country model linking Poland and the euro area and applies it for assessment of heterogeneity across these two regions. Overall, our results can be seen as rather inconclusive about the differences in parameters describing agents' decision-making in Poland and in the...

The purpose of this paper is to analyze the dynamic response of a small subset of variables to exchange rate shocks by using a new method based on a set of theory-consistent sign restrictions for the purpose of identifying shocks over time (1995Q1–2019Q1) in the Moroccan economy. It is...

The integration of China into the global economy is one of the most spectacular events in economic history. This paper investigates to what extent this process affects output growth and inflation in the advanced countries. A GVAR model is specified to explore interdependencies between business...

We use Indonesian survey data to analyze the response of rural households to demographic and economic shocks in relation to the household’s permanent income and the extent to which the shock is common across the community. Economic shocks are more likely to result in a labour supply response...

This paper analyzes Structural Vector Autoregressions (SVARs) where identification of structural parameters holds locally but not globally. In this case there exists a set of isolated structural parameter points that are observationally equivalent under the imposed restrictions. Although the...

We develop a similarity-based structural vector autoregressive (SVAR) model using the similar clusters of data relevant for the prevailing initial macroeconomic conditions of interest. Our computationally attractive simple approach enables us to uncover time-varying effects of structural...

We show that when a model has more shocks than observed variables the estimated filtered and smoothed shocks will be correlated. This is despite no correlation being present in the data generating process. Additionally the estimated shock innovations may be autocorrelated. These correlations...