The objective of this paper is to apply the method developed in Garratt, Lee, Pesaran, and Shin (2000) to build a structural model for Germany with a transparent and theoretically coherent foundation. The modelling strategy consists of a set of long-run structural relationships suggested by economic theory and an otherwise unrestricted VAR model. It turns out that we can rebuild the structure o...

This paper represents a contribution to the study of the international transmission of business cycle shocks. A domestic positive productivity shock hitting countries vis-à-vis the rest of the world is identified in a VAR model following the methodology of sign restriction pioneered by Canova and De Nicolò in 2002. By this identification strategy, restrictions are imposed on impulse response fu...

In structural vector autoregressive (SVAR) models identifying restrictions for shocks and impulse responses are usually derived from economic theory or institutional constraints. Sometimes the restrictions are insufficient for identifying all shocks and impulse responses. In this paper it is pointed out that specific distributional assumptions can also help in identifying the structural shocks....

For a given variety Var of algebras we define the variety Var of dialgebras. This construction turns to be closely related with varieties of pseudo-algebras: every Var-dialgebra can be embedded into an appropriate pseudo-algebra of the variety Var. In particular, Leibniz algebras are exactly Lie dialgebras, and every Leibniz algebra can be embedded into current Lie conformal algebra.

This paper investigates the common movements of commodity sectors in China as well as the economic underpinnings of the comovements. We employ a Bayesian dynamic latent factor model to disentangle the common and idiosyncratic sector-specific factors of the prices of a group of China's commodity sectors: petrochemicals, grains, energy, non-ferrous metals, oils & fats, and softs. The results indi...

A large empirical literature has examined the transmission mechanism of structural shocks in great detail. The possible role played by changes in the volatility of shocks has largely been overlooked in vector autoregression based applications. This paper proposes an extended vector autoregression where the volatility of structural shocks is allowed to be time-varying and to have a direct impact...

This paper proposes Bayesian forecasting in a vector autoregression using a democratic prior. This prior is chosen to match the predictions of survey respondents. In particular, the unconditional mean for each series in the vector autoregression is centered around long-horizon survey forecasts. Heavy shrinkage toward the democratic prior is found to give good real-time predictions of a range of...

This study investigates financial contagion among seven international stock markets around the October 19, 1987 crash. Building on a recent advance in vector autoregression analysis by [Swanson, N., Granger, C.W.J., 1997. Impulse response functions based on a causal approach to residual orthogonalization in vector autoregression. Journal of the American Statistical Association 92, 357–367], dat...