We introduce the idea of common serial correlation features among non-stationary, cointegrated variables. That is, the time series do not only trend together in the long run, but adjustment restores equilibrium immediately in the period following a deviation. Allowing for delayed...

We analyze non-stationary time series that do not only trend together in the long run, but restore the equilibrium immediately in the period following a deviation. While this represents a common serial correlation feature, the framework is extended to codependence, allowing for delayed...

Wir konstruieren ein neues Modell unbeobachteter Komponenten mit Markov-Switching zur Analyse von Hysterese-Effekten, also der Verfestigung ursprünglich zyklischer Fluktuationen. Das Modell kombiniert die Bestandteile einer Trend-Zyklus Zerlegung, der Identifikation von gegenseitigen...

This paper investigates whether the effects of structural labor market reforms depend on the business cycle. Based on search and matching theory, we propose an unobserved components approach with Markov switching to distinguish the effects of structural reforms that increase the flexibility of...

This paper proposes estimating causalities in bilateral international trade in simultaneous systems, including domestic and foreign GDP as well as mutual trade flows. Conventional macroeconomic theory mainly follows partial approaches like import functions or exportled growth. Focusing on the US...

This paper seeks to disentangle the sources of correlations between high-, mid- and low-cap stock indexes from the German prime standard. In principle, such comovement can arise from direct spillover between the variables or due to common factors. By standard means, these different components...

The Chinese stock market features an interesting history of divided market segments: domestic (A), foreigners' (B) and overseas (H). This puts forth questions of market integration as well as cross-divisional information transmission. We address these issues in a structural DCC framework, an...

We construct a new Markov-switching unobserved components framework for the analysis of hysteresis effects. Our model unifies the ingredients of trend-cycle decomposition, identification of spillovers between the components and asymmetry over the business cycle. Employing the model for Germany...

We sharpen tests for "discouragement" and "added worker" effects by splitting the explanatory variable - the unemployment rate - into a short-term and a long-term component. While short-term unemployment might not result in additional workers on a large scale, long-term unemployment reduces...

Using German data this study applies an unobserved-components approach to disentangle the unemployment rate into a (stochastic) trend and a cyclical part and to estimate the influence of these components on labor participation. The persistent trend component of unemployment, which triggers...