1,471 research outputs found

    OPTIMAL PRICING AND GRANT POLICIES FOR MUSEUMS

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    Considering two potential sources of income (public grants and ticket revenues),we have defined a theoretical model where the public agency is the principal and the manager of the museum is the agent. This model allows us to design the optimal contract between both sides and thus to establish the optimal values of grants, ticket prices, budget and effort applied by the manager. Furthermore, we have found a theoretical reason to explain the inelastic pricing strategy that has been found in some of the empirical research on cultural and sports economics. The main conclusion is that the optimal contract allows a Pareto optimum solution in prices that does not change if we introduce moral hazard into this relationship. This solution allows us to conclude that the public agency should regulate ticket prices in accordance with the social valuation. However, public grants and museum budgets would be affected by the existence of this problem, moving the equilibrium away from the Pareto optimum situation. In this case, even with a risk averse manager and a risk neutral public agency, grants and budgets will depend on results because higher budgets related to good results provide the main incentives to increase the manager’s level of effort. Although the focus of this paper is on museum administration, the model that we have developed can be easily generalized and applied to other institutions, such as schools, sport facilities or NGOs, which are able to raise funds directly from private (e. g. ticket revenues or membership fees) or public sources (e.g. public grants).cultural economics, grants, public prices, museums, principal- agent model

    Addiction At the Biennale of Venice

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    In this paper we analyse the socio-economic characteristics (e.g. age, gender, education, nationality) associated with the probability of subscribing to an art review, among visitors of the Visual Arts Biennale of Venice taking into account the heterogeneity of the data. The analysis uses a data set from a questionnaire given in Venice in 2003 to ascertain the key characteristics of the Biennale visitors, (Bernardi, Pizzi and Vecco, 2004). A Bayesian random parameter logit model is used with Gibbs sampling to verify the hypothesis that subscribing to an art review given that the individual visits the Biennale, defines addiction to visual arts. This model outperforms the standard logit model since it takes into account the unobserved heterogeneity of the sample data. Some policy implications are presented.Culture, Biennale of Venice, Mixed Logit model, and policy implications.

    “Dietética digital”: cómo adelgazar al Gran Hermano

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    The author alerts us: what we do, see and imagine using a digital device is, to a great extent, programmed. Our activity and our looking have been kidnapped by the screens. We live supersaturated and exceeded by the virtual reality. We cannot process it and give it sense. We cannot even control it for using in our interest. But the technology can help us to construct and protect life projects, both personal and collective
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