The present thesis comprises two rather independent chapters. In general, the diagnosis and quantification of dependence is a major aim of econometric studies. Along these lines, the concept of dependence serves as an encompassing framework to analyze time series with two very different...

Structural innovations in multivariate dynamic systems are typically hidden and often identified by means of a-priori economic reasoning. Under multivariate Gaussian model innovations there is no loss measure available to distinguish alternative orderings of variables or, put differently,...

This paper revisits the monetary policy asset price nexus employing a novel identification approach for structural VARs in a framework of non-Gaussian independent shocks. This allows us to remain “agnostic” about the contemporaneous relations between the variables. We provide empirical...

In studying the economic cycle dependency of fiscal multipliers in Chile, we implement an independent component analysis for structural shock identification within a non-linear vector autoregressive setting with generalized impulse response functions. Thereby we relax more restrictive...

In this paper we introduce a bootstrap procedure to test parameter restrictions in vector autoregressive models which is robust in cases of conditionally heteroskedastic error terms. The adopted wild bootstrap method does not require any parametric specification of the volatility process and...

Apart from a priori assumptions on instantaneous or long run effects of structural shocks, sign restrictions have become a prominent means for structural vector autoregressive (SVAR) analysis. Moreover, second order heterogeneity of systems of times series can be fruitfully exploited for...