We review some recent papers on a large dynamic factor model (LDFM) and its applications to structural macroeconomic analysis. Then we prove some convergence results concerning with the stochastic variables which define such a model.

In this work we review some recent papers concerned with large dynamic factor model (LDFM) and its applications to structural macroeconomic analysis. Using this theory, we present a new empirical application on the effects of technology and non technology shocks on hours worked.

"This paper investigates the time-varying relationship between German output and employment growth, in particular their decoupling in recent years. We estimate a correlated unobserved components model that allows for both persistent and cyclical time variation in the employment impact of GDP as...

This paper examines the modelling complications that appear when some macroeconomic behavioral relationships interact with structural variables, even under a given A matrix. The main problem is concretized for the situation when, a) the final consumption, gross fixed capital formation, inventory...

The paper focuses on establishing causation in regression analysis in observational settings. Simple static regression analysis cannot establish causality in the absence of a priori theory on possible causal mechanisms or controlled and randomized experiments. However, two regression based...

In this paper we establish the consistency of the model selection criterion based on the quasi-marginal likelihood obtained from Laplace-type estimators (LTE). We consider cases in which parameters are strongly identified, weakly identified and partially identified. Our Monte Carlo results...

There is a growing consensus that part of the surge in government bond spreads during the EMU debt crisis can be explained by wake-up-call contagion. Evidence on pure contagion however is very mixed and there are no insights into the dynamics of these effects. As a contribution to fill this gap,...