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...

This paper studies the signalling effect of the consumption-wealth ratio (cay) on German stock returns via vector error correction models (VECMs). The effect of cay on U.S. stock returns has been recently confirmed by Lettau and Ludvigson with a two-stage method. In this paper, performances of...

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...

Recently proposed models of risky choice imply systematic violations of transitivity of preference. Five studies explored whether people show patterns of intransitivity predicted by four descriptive models. To distinguish trueʺ violations from those produced by error,ʺ a model was fit in which...

In this paper, we present a spatial model of the public provision of the performing arts. Agents behave boundedly rational. Art directors set performance quality according to their aspiration levels. While taking into account the spatial distribution of the population, administrative directors...

We state efficiency conditions for the provision of congestable local public goods that diminish individual-specific proprietary risks. The optimum level of such a public service is determined by equating the sum of the reductions of the expected property losses due to a better service level...

This paper develops a methodology for estimating the parameters of dynamic opinion or expectation formation processes with social interactions. We study a simple stochastic framework of a collective process of opinion formation by a group of agents who face a binary decision problem. The...

We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data. Flexible semiparametric predictors referring to the class of dynamic panel and dynamic factor models are adopted for daily forecasts. The parsimonious set up of our approach allows to...