-biased technology shocks in a VAR with long-run restrictions. Hours fall in response to skill-biased technology shocks, indicating that …

Bayesian networks. A TSCM can be seen as a structural VAR identified by the causal relations among the variables. We classify … variables based on their observed time series data. It is shown that while an unconstrained VAR model does not imply any causal …

This paper asks the question: Why has the ?general-to-specific? cointegrated VAR approach as developed in Europe had … focus on the journal publication metric for advancement. Specifically, the European ?general-to specific? cointegrated VAR …

to model the interaction between the banking sector and the macroeconomy. Our identified-VAR analysis indicates that the …

the implications of these scenarios in projecting the future path of fiscal aggregates. We argue that our forecasting …

forecasting volatility. We outline the genesis of this approach from similar models of turbulent flows in statistical physics and …

The main goal of the article is to investigate forecasting quality of two approaches to modelling main macroeconomic … accuracy not inferior to that of structural models. Additional advantage of their approach is that the forecasting procedure … can be mostly automated and the influence of subjective decisions made in the forecasting process can be significantly …