The role of the housing market in the everyday life of society is difficult to overestimate. The housing rents and prices directly affect standard of living of virtually every person. Housing loans constitute the largest liability of households and account for a large proportion of bank lending....

New Keynesian Economics that rely on the DSGE technology has been criticized as being hopelessly inadequate for dealing with financial crises of the type that we have seen in recent years or - more generally - with failures of the intertemporal price mechanism to coordinate investment and...

We propose a novel framework where forward guidance (FG) is endogenously determined. Our model assumes that a monetary authority solves an optimal policy problem under commitment at the zero-lower bound. FG derives from two sources: 1. from commiting to keep interest rates low at the exit of the...

The paper reviews adjustment dynamics in the EMU on the basis of estimated DSGE models for four large EA Member States (DE, FR, IT, ES). We compare the response of the four countries to identical shocks and find a particularly strong response of employment and wages in ES, a high sensitivity of...

Along time the European Union (EU) has been pointed as the most succeeded example of regional integration. Now, this example has been cruelly shaken by the EZ (Euro Zone) crisis, originating increasing doubts about the integration process. It is evident that the proposed solutions for attacking...

The purpose of this study is to investigate the relation between regional convergence inside of countries in EU and overall economic growth, and, based on it, to establish some relevant behavioural regimes. As data sources we are using the available dataset NUTS 2 from EUROSAT for the period...

Forecasting regional variables provides very important information for political, institutional and economic agents. However, in the present context characterized by important decline of economies, heterogeneous data and regional interdependencies, it is even more difficult to carry out accurate...

This study develops an easy forecasting model using prefectural data in Japan. The Markov chain known as a stochastic model corresponds to the vector auto-regressive (VAR) model of the first order. If the transition probability matrix can be appropriately estimated, the forecasting model using...