Travelers often are incompletely informed about travel alternatives, which has important implications for various domains of travel behavior such as whether or not to make a trip, modal choice, the timing of a trip or route choice. During the last decade large efforts have been made to increase...

Despite a busy lifestyle – or perhaps as a result of a stressful lifestyle – more people than ever before make leisure trips, sometimes for a long time but in many cases just for short periods. Modern telecommunication technology brings attractive tourist destinations directly into the...

Travelers often are incompletely informed about travel alternatives, which has important implications for various domains of travel behavior such as whether or not to make a trip, modal choice, the timing of a trip or route choice. During the last decade large efforts have been made to increase...

Despite a busy lifestyle – or perhaps as a result of a stressful lifestyle – more people than ever before make leisure trips, sometimes for a long time but in many cases just for short periods. Modern telecommunication technology brings attractive tourist destinations directly into the...

See the article in <I>Tourism Economics</I> (2013). Volume 19, Issue 5, pages 987-1004.<P> As a result of advances in ICT-services, transportation, and local development, among others, an increasing number of destinations is competing to attract both national and international visitors. Globalisation...</p></i>

Accurate prediction of risk measures such as Value at Risk (VaR) and Expected Shortfall (ES) requires precise estimation of the tail of the predictive distribution. Two novel concepts are introduced that offer a specific focus on this part of the predictive density: the censored posterior, a...

We propose a new class of observation driven time series models referred to as Generalized Autoregressive Score (GAS) models. The driving mechanism of the GAS model is the scaled score of the likelihood function. This approach provides a unified and consistent framework for introducing...

This paper investigates the asymptotic properties of the ordinary least squares (OLS) estimator of structural parameters in a stylised macroeconomic model in which agents are boundedly rational and use an adaptive learning rule to form expectations of the endogenous variable. In particular, when...

Kernel ridge regression is gaining popularity as a data-rich nonlinear forecasting tool, which is applicable in many different contexts. This paper investigates the influence of the choice of kernel and the setting of tuning parameters on forecast accuracy. We review several popular kernels,...

This discussion paper led to an article in <I>Statistica Neerlandica</I> (2003). Vol. 57, issue 4, pages 439-469.<P> The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this...</p></i>