This paper compares various models for time series of counts which can account for discreetness, overdispersion and serial correlation. Besides observation- and parameter-driven models based upon corresponding conditional Poisson distributions, we also consider a dynamic ordered probit model as...

In this paper, we present a model in which the performing arts are modelled as congestible public goods. In accordance with empirical evidence, the production of seat capacity is assumed to be subject to fixed costs. We estimate the parameters of the model's demand and cost functions using...

Multi-fractal processes have recently been proposed as a new formalism for modelling the time series of returns in finance. The major attraction of these processes is their ability to generate various degrees of long memory in different powers of returns - a feature that has been found in...