There is an increasing awareness of the potential of nonlinear modeling in regional science, which can partly be explained by the recognition of the limitations of conventional equilibrium models in complex situationsand partly by the easy availability and accessibility of sophisticated...

Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and...

Cities have become playing grounds for competitive behaviour and rapid economic dynamics. But in many cities (or urban agglomerations) economic growth is mainly manifested in specific geographic areas, where creative people and innovative entrepreneurs are located. This paper offers first the...

This discussion paper led to an article in <I>Geographical Analysis</I> (2012). Volume 44, issue 1, pages 29-46.<P> (Spatial) panel data are routinely modelled in discrete time (DT). However, there are compelling arguments for continuous time (CT) modelling of (spatial) panel data. Particularly, most...</p></i>

This paper focuses on the relation between the onset of disability and employment outcomes. We develop an event history model that includes unscheduled hospitalizations as a measure for unanticipated health shocks and estimate the model on data from the British National Child Development Study...

This discussion paper led to an article in the <I>Journal of Human Resources</I> (2011). Volume 46(4), pages 695-721.<P> While there is no doubt that health is strongly correlated with education, whether schooling exerts a causal impact on health is not yet firmly established. We exploit Dutch compulsory...</p></i>

The establishment of appropriate policy measures for fighting unemployment has always been difficult since causes of unemployment are hard to identify. This paper analyses an approach used mainly in the 1960s and 1970s in economics, in which classification is used as a way to deal with such a...

This paper studies vector autoregressive models with parsimoniously time-varying parameters. The parameters are assumed to follow parsimonious random walks, where parsimony stems from the assumption that increments to the parameters have a non-zero probability of being exactly equal to zero. We...

This paper presents the R-package <B>MitISEM</B> (mixture of <I>t</I> by importance sampling weighted expectation maximization) which provides an automatic and flexible two-stage method to approximate a non-elliptical target density kernel -- typically a posterior density kernel -- using an adaptive mixture...</i></b>

Two main topics are analysed in this paper: a crowding model for an urban destination is tested by the use of a binary logistic model in order to identify the variables influencing crowding perception; and the inherent negativity of the crowding concept, as is often assumed, is examined through...