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...

In many countries the provision of the performing arts is assigned to the public sector. Public theaters cover most of their costs by subsidies rather than ticket sale. Moreover, relatively low utilization of capacity suggests that there are large and persistent over-capacities in the market. In...

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...

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...

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...

In this paper Efficient Importance Sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure for the Monte Carlo (MC) evaluation of...