This paper describes a search model with a continuum of workerand job types, transferable utility and an increasing returns to scale contact technology. We apply a second order Taylor expansion to characterize the equilibrium. One third of theincreasing returns in contacts are absorbed by firms...

There is an increasing demand for transport decisions to be made in thelight of some form of what may generically be called cost benefit analysis(CBA). The actual techniques may vary and often deviate quite significantlyfrom the conventional economic concept of CBA but in all cases theprocedures...

In the paper a nested logit model is used to describe passenger preferencesconcerning airports and airlines. A statistical model for the passengers'sequential choice of airport and airline is calibrated. It appears that thechoice sequence first airport, then airline is statistically preferable...

We model panel data of crime careers of juveniles from a Dutch Judicial Juvenile Institution. The data are decomposed into a systematic and an individual-specific component, of which the systematic component reflects the general time-varying conditions including the criminological climate....

We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...

We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...

Unobserved components time series models decompose a time series into a trend, a season, a cycle, an irregular disturbance, and possibly other components. These models have been successfully applied to many economic time series. The standard assumption of a linear model, often appropriate after...

In this paper we investigate whether the dynamic properties of the U.S. business cycle have changed in the last fifty years. For this purpose we develop a flexible business cycle indicator that is constructed from a moderate set of macroeconomic time series. The coincident economic indicator is...

This paper concerns estimating parameters in a high-dimensional dynamic factormodel by the method of maximum likelihood. To accommodate missing data in theanalysis, we propose a new model representation for the dynamic factor model. Itallows the Kalman filter and related smoothing methods to...