A large body of literature explains the inferior position of unskilled workers by imposing a structural shift in the labor force skill composition. This paper takes a different approach by emphasizing the connection between cyclical variations in skilled and unskilled labor markets. Using a...

In their joint framework project, the FASB and the IASB recently proposed dropping stewardship as a separate objective of financial accounting, because the Boards view stewardship and valuation usefulness as compatible sub-objectives ranking under an overall objective of decision usefulness....

This paper addresses the key determinants of merger failure, in particular the role of innovation (post-merger performance) and technology (ex-ante selection) when firms decide to separate. After a brief review of the existing literature we introduce a model of process innovation where merged...

We introduce a Nelson-Siegel type interest rate term structure model with the underlying yield factors following autoregressive processes revealing time-varying stochastic volatility. The factor volatilities capture risk inherent to the term struc- ture and are associated with the time-varying...

Innovation activities in high technology industries provide considerable challenges for technology and innovation management. In particular, since these industries have a long history of radical innovations taking place through distinct industry cycles of higher and lower demand, firms...

Context effects can have a major influence on brand choice behavior after the introduction of a new product. Based on behavioral literature, several hypotheses about the effects of a new brand on perception, preferences and choice behavior can be derived, but studies with real choice data are...

We analyze the impact of short-run economic fluctuations on age-specific mortality using Bayesian time series econometrics and contribute to the debate on the procyclicality of mortality. For the first time, we examine the differing consequences of economic changes for all individual age...

In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and illustrate the major principles of corresponding Markov Chain Monte Carlo (MCMC) based statistical inference. We provide a hands-on ap proach which is easily implemented in empirical...

In the literature of identifcation through autoregressive conditional heteroscedasticity, Weber (2008) developed the structural constant conditional correlation (SCCC) model. Besides determining linear simultaneous in uences between several variables, this model considers interaction in the...