IDEAS home Printed from https://ideas.repec.org/p/cue/wpaper/awp-09-2016.html
   My bibliography  Save this paper

Being Central and Productive? Evidence from Slovenian Visual Artists in the 19th and 20th Century

Author

Listed:
  • Andrej Srakar

    () (Institute for Economic Research, Faculty of Economics, University of Ljubljana, Slovenia)

  • Petja Grafenauer

    () (School of Arts, University of Nova Gorica, Nova Gorica, Slovenia)

  • Marilena Vecco

    () (Erasmus University Rotterdam, The Netherlands)

Abstract

Slovenian art history has received very little (if any) attention from the viewpoint of network theory although there were several examples of artists co-working or working in groups, collectives or even loosely organized clusters (groups from the impressionist Sava in 1904 to postmodern Irwin in 1984). This may be interpreted as a way to acquire better positions in the national and international art circles and on the art market. In our article we use web-based dataset of Slovenska biografija (operated by the Slovenian Academy of Sciences and Arts), which contains data on numerous notable persons throughout Slovenian history to analyze the centrality of individual artistic figures and movements throughout Slovenian art history. We also study the influence of network centrality on cultural production controlling for endogeneity following the instrumental variable approach, proposed in the literature while using a new instrumental variable to solve the problem. Finally, we present results which show that women visual artists used their network positions more intensively than men and provide some first explanations for this observed relationship. In conclusion, we provide some reflections on the importance of these findings for further research work in the area.

Suggested Citation

  • Andrej Srakar & Petja Grafenauer & Marilena Vecco, 2016. "Being Central and Productive? Evidence from Slovenian Visual Artists in the 19th and 20th Century," ACEI Working Paper Series AWP-09-2016, Association for Cultural Economics International, revised Sep 2016.
    • Handle: RePEc:cue:wpaper:awp-09-2016
    as

    Download full text from publisher

    File URL: http://www.culturaleconomics.org/awp/AWP-09-2016.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    2. Borowiecki, Karol Jan, 2013. "Geographic clustering and productivity: An instrumental variable approach for classical composers," Journal of Urban Economics, Elsevier, vol. 73(1), pages 94-110.
    3. John O'Hagan & Karol Jan BOROWIECKI, 2009. "Birth Location, Migration and Clustering of Important Composers: Historical Patterns," Trinity Economics Papers tep0115, Trinity College Dublin, Department of Economics, revised Feb 2015.
    4. Mitchell, Sara, 2019. "London calling? Agglomeration economies in literature since 1700," Journal of Urban Economics, Elsevier, vol. 112(C), pages 16-32.
    5. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
    6. Christiane Hellmanzik, 2013. "Does travel inspire? Evidence from the superstars of modern art," Empirical Economics, Springer, vol. 45(1), pages 281-303, August.
    7. Hellmanzik, Christiane, 2010. "Location matters: Estimating cluster premiums for prominent modern artists," European Economic Review, Elsevier, vol. 54(2), pages 199-218, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Slovenian art history; social network analysis; network centrality; artist productivity; instrumental variables; women visual artists;

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • J49 - Labor and Demographic Economics - - Particular Labor Markets - - - Other
    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cue:wpaper:awp-09-2016. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Juan Prieto-Rodriguez). General contact details of provider: http://edirc.repec.org/data/aceiiea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.