nep-cul New Economics Papers
on Cultural Economics
Issue of 2021‒01‒18
four papers chosen by
Roberto Zanola
Università degli Studi del Piemonte Orientale

  1. Artists’ Labour Market and Gender: Evidence from German visual artists By Marchenko, Maria; Sonnabend, Hendrik
  2. Anatomy of a techno-creative community : the role of places and events in the emergence of videomapping in Nantes By Etienne Capron; Dominique Sagot-Duvauroux; Raphaël Suire
  3. Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model By Christoph Schlembach; Sascha L. Schmidt; Dominik Schreyer; Linus Wunderlich
  4. cv By ragab, mostafa gamal mostafa

  1. By: Marchenko, Maria; Sonnabend, Hendrik
    Abstract: Using comprehensive data from German visual artists, we provide strong empirical evidence of a gender gap in revenues. We find that female artists have significantly lower revenues from the art market and are about ten percentage points less likely to remain in the top category over three years. This gap persists in the most prominent art forms and is more pronounced for younger artists. Only 30 to 40 percent of these gaps can be explained by differences in observable characteristics. We also find differences in the networking behaviour of the artists of different genders: females are connecting more, whereas males tend to create tighter links, suggesting the importance of the latter for the art market.
    Keywords: art market, artists’ earnings, gender gaps
    Date: 2020–12
    URL: http://d.repec.org/n?u=RePEc:wiw:wus005:7910&r=all
  2. By: Etienne Capron (GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - AGROCAMPUS OUEST - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - Institut National de l'Horticulture et du Paysage); Dominique Sagot-Duvauroux (GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - AGROCAMPUS OUEST - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - Institut National de l'Horticulture et du Paysage); Raphaël Suire (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes - IUML - FR 3473 Institut universitaire Mer et Littoral - UBS - Université de Bretagne Sud - UM - Le Mans Université - UA - Université d'Angers - CNRS - Centre National de la Recherche Scientifique - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - UN - Université de Nantes - ECN - École Centrale de Nantes)
    Abstract: This article aims to study the role of places and events in the structuring of a community of innovation whose practice is at the crossroads of art and tech - videomapping. Based on an exploratory case study, we observe the relationships between the different actors who form subgroups, sharing a common interest in a techno-creative practice - but whose collective innovation dynamic is only in its beginnings. We also document the usage of places and events in their intermediation role for these subgroups. This reveals preferential circulations - patterns of moves among a set of focal locations in the city for a community – and the crucial role of these locations in creative communities emergence.
    Keywords: techno-creative innovation,places,knowledge,network analysis
    Date: 2020
    URL: http://d.repec.org/n?u=RePEc:hal:wpaper:hal-02617101&r=all
  3. By: Christoph Schlembach; Sascha L. Schmidt; Dominik Schreyer; Linus Wunderlich
    Abstract: Forecasting the number of Olympic medals for each nation is highly relevant for different stakeholders: Ex ante, sports betting companies can determine the odds while sponsors and media companies can allocate their resources to promising teams. Ex post, sports politicians and managers can benchmark the performance of their teams and evaluate the drivers of success. To significantly increase the Olympic medal forecasting accuracy, we apply machine learning, more specifically a two-staged Random Forest, thus outperforming more traditional na\"ive forecast for three previous Olympics held between 2008 and 2016 for the first time. Regarding the Tokyo 2020 Games in 2021, our model suggests that the United States will lead the Olympic medal table, winning 120 medals, followed by China (87) and Great Britain (74). Intriguingly, we predict that the current COVID-19 pandemic will not significantly alter the medal count as all countries suffer from the pandemic to some extent (data inherent) and limited historical data points on comparable diseases (model inherent).
    Date: 2020–12
    URL: http://d.repec.org/n?u=RePEc:arx:papers:2012.04378&r=all
  4. By: ragab, mostafa gamal mostafa
    Abstract: Certain owners wish to permanently relinquish those rights to a Work for the purpose of contributing to a commons of creative, cultural and scientific works ("Commons") that the public can reliably and without fear of later claims of infringement build upon, modify, incorporate in other works, reuse and redistribute as freely as possible in any form whatsoever and for any purposes, including without limitation commercial purposes. These owners may contribute to the Commons to promote the ideal of a free culture and the further production of creative, cultural and scientific works, or to gain reputation or greater distribution for their Work in part through the use and efforts of others.
    Date: 2020–11–28
    URL: http://d.repec.org/n?u=RePEc:osf:osfxxx:sngz4&r=all

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