We augment a standard monetary DSGE model to include a banking sector and financial markets. We fit the model to Euro Area and US data. We find that agency problems in financial contracts, liquidity constraints facing banks and shocks that alter the perception of market risk and hit financial...

The paper shows that monetary policy shocks exert a substantial effect on the size and composition of capital flows and the trade balance for the United States, with a 100 basis point easing raising net capital inflows and lowering the trade balance by 1% of GDP, and explaining about 20-25% of...

This paper examines the feasibility of implementing Linear Quadratic Gaussian (LQG) Control in structural cointegrated VAR models and sheds some light on the two major problems generated by such implementation. The first aspect to be taken into account is the effect of the presence of unit roots...

There has been much discussion of the differences in macroeconomic performance and prospects between the US, Japan and the euro area. Using Markov-switching techniques, in this paper we identify and compare specifically their major business-cycle features and examine the case for a common...

This monthly monetary model for the euro area is gradually constructed from its two constituting components: a money demand and a loan demand model which both include the relation between the respective retail bank rates and the short-term market interest rate. Eventually, the encompassing...

Based on a literature review, this paper investigates the reasons why broad money demand has usually been found to be more stable in the euro area than in other large economies. The paper concludes that there are three main explanations for this fact. First, in some countries outside the euro...

This paper re-examines two data issues concerning euro area money demand: aggregation of national data and measurement of the own rate.The main purpose is to study if euro area money demand is subject to parameter non-constancies using formal tests rather than informal diagnostics. As a...

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...