Built-up areas have been expanding throughout the world. Monitoring and prediction of the build-up is not only important for the economic development but also acts as sentinels of environmental decline important for ecologically sustainable development of a region. The aim of this paper is to...

Destination image is an important variable of influence for tourist behavior. Previous studies showed that intermediaries – different travel agencies ‐ influence the visiting intentions of potential tourists, being able to form opinions and shape behaviors. Measuring the perception of travel...

The ability of the usual factors from empirical arbitrage-free representations of the term structure—that is, spanned factors—to account for interest rate volatility dynamics has been much debated. We examine this issue with a comprehensive set of new arbitrage-free term structure...

A portfolio-resampling procedure invented by Richard and Robert Michaud is the subject of a highly controversial discussion and big scientific dispute. It has been evaluated in many empirical studies and Monte Carlo experiments. Apart from the contradictory findings, the Michaud approach still...

Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast accuracy for euro area real GDP growth and HICP...

This paper presents the main characteristics of TREMOD, a tax-benefit microsimulation model for the Italian province of Trento (Italy). TREMOD is based upon the EUROMOD platform microsimulation model, and its purpose is to inform local tax and welfare policies. TREMOD is a flexible tool that...

Routinedatenstudien können den Akteuren des Gesundheitswesens nützliche Informationen liefern. Infolgedessen hat die Bedeutung und wissenschaftliche Nutzung von Routinedaten der gesetzlichen Krankenversicherung in den letzten Jahren stetig an Relevanz gewonnen. Bisher liegen nur sehr...