MEASURING EMOTION THROUGH QUALITY IN SYMPHONY ORCHESTRAS

By Mafalda Gómez-Vega and Luis César Herrero-Prieto

Repertoire programming decisions taken by symphony orchestras usually pursue a mixture of aims that embrace both quality and audience success. We also assume there is a link between fineness or brilliance and excitement. Based on these premises, we assess the quality of symphony orchestras by evaluating their musical repertoire using three partial indicators: contemporaneity, most well-known composers, and repertoire originality.

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CULTURAL DIVERSITY OF THE FILM INDUSTRY IN THE EU

By Georgios Alaveras, Estrella Gomez-Herrera and Bertin Martens

This paper explores new data sources on multilateral trade in films among EU countries and with the USA in offline cinema and in online video-on-demand distribution. We observe variations in trade patterns across countries and films and explore how they affect cultural diversity.

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DATA-DRIVEN CULTURE, ARTIFICIAL INTELLIGENCE AND MACHINE CREATIVITY

By Christian Peukert

Digitization has made a large impact on the cultural industries in the past 20 years. With a new wave of technologies arriving, it will be important to understand the economic implications of data and artificial intelligence that complements, or perhaps substitutes for human creativity with regards to cultural participation, copyright and the industrial organization of culture.

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CULTURAL PROXIMITY MATTERS IN TIMES OF CRISIS

By Maria Masood Dechevrens and Céline Carrère

While the positive effect of sharing common cultural traits on bilateral trade flows has been abundantly confirmed in empirical trade analyses, the role of cultural proximity in times of crisis has been uncovered for the first time in an economic article recently published.

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IS THERE A ROLE FOR THE ARTIST IN THE FORMATION OF VALUE?

By Francesco Angelini and Massimiliano Castellani

The art market literature is still lacking a detailed analysis of the artist’s role in the formation process of artworks’ value. In order to improve the understanding of this process, we discuss what value is, how it is studied, and how it is ultimately influenced by the artist.

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MACHINE LEARNING TO UNCOVER DIFFERENCES IN WILLINGNESS-TO-PAY FOR THEATRE TICKETS

By Alina Ozhegova and Evgeniy M. Ozhegov

Estimation of willingness-to-pay (WTP) is widely spread approach in economics and marketing for problems of optimal pricing and measuring of product value for a customer. Machine learning approaches may help to estimate a range of WTP for theatre tickets and explain main sources of audience heterogeneity in estimates of WTP.

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