This paper introduces a multivariate long-memory model with structural breaks. In the proposed framework, time series exhibit possibly fractional orders of integration which are allowed to be different in each subsample. The break date is endogenously determined using a procedure which minimises...

Decisions under risk are often multidimensional, where the preferences of the decision maker depend on several attributes. For example, an individual might be concerned about both her level of wealth and the condition of her health. Many times the signs of successive cross derivatives of a...

The rank of the Hankel matrix, corresponding to a system transfer function, is equal to the order of its minimal state space realization. The computation of the rank of the Hankel matrix is complicated by the fact that its block elements are rarely given exactly but are estimated instead. In...

There exist many indicators for corporatism. Using a latent variables approach, we extract common aspects in 29 corporatism indicators which have been suggested in the literature and find two factors that can be identified as the degree of coordination between employers and trade unions, and the...

This paper investigates output convergence for the G7 countries using multivariate time series techniques. We consider both the null hypotheses of no convergence and convergence. It is shown that inferences on output convergence depend on which one of the two null hypotheses is considered....

Based on theoretical models of job mobility this paper provides an empirical analysis of job durations in West Germany using information from two cohorts of new entrants to the labor force. We adopt an accelerated failure time model allowing for unobserved heterogeneity. Thereby we combine the...

We develop and analyze a class of unbiased Monte Carlo estimators for multivariate jump-diffusion processes with state-dependent drift, volatility, jump intensity and jump size. A change of measure argument is used to extend existing unbiased estimators for the inter-arrival diffusion to include...

In order to improve the dynamic assessment of financial market interdependencies, we develop a new Markov switching approach to multivariate volatility modelling. More specific, we take advantage of the flexible copula multivariate GARCH model of Lee and Long (2009), and allow state dependence...

When drawing inferences about a person’s personal characteristics from their actions, “correspondence bias” is the tendency to overestimate the influence of those characteristics and underestimate the influence of situational factors, such as incentives the individual faces. We build a...