IDEAS home Printed from https://ideas.repec.org/p/iis/dispap/iiisdp296.html
   My bibliography  Save this paper

Artistic Clusters and Modern Artists’ Mobility - An Empirical Study

Author

Listed:
  • Christiane Hellmanzik, Department of Economics and IIIS, Trinity College Dublin

Abstract

Based on a global sample of the 214 most prominent modern visual artists born between 1850-1945, this paper analyses the extent of mobility and the determinants of the decision to locate in the artistic clusters of Paris and New York. It is argued that the extent of mobility decreases over time and traveling is a complement to relocating permanently. Moreover, French and German artists move considerably less and American artists significantly more than their counterparts born elsewhere. A location choice model shows that the affiliation with an artistic style is a good predictor for the likelihood of moving to a cluster. This can be explained by specialised human capital spillovers. For both clusters, short-term visits are a substitute for permanent relocation. Having received formal art training increases the likelihood of moving to New York, whereas the patronage system is an important relocation factor only in the case of Paris.

Suggested Citation

  • Christiane Hellmanzik, Department of Economics and IIIS, Trinity College Dublin, 2009. "Artistic Clusters and Modern Artists’ Mobility - An Empirical Study," The Institute for International Integration Studies Discussion Paper Series iiisdp296, IIIS.
  • Handle: RePEc:iis:dispap:iiisdp296
    Note: Length:
    as

    Download full text from publisher

    File URL: https://www.tcd.ie/triss/assets/PDFs/iiis/iiisdp296.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, E. Han & Morse, Adair & Zingales, Luigi, 2009. "Are elite universities losing their competitive edge?," Journal of Financial Economics, Elsevier, vol. 93(3), pages 353-381, September.
    2. Roland Vaubel, 2005. "The Role of Competition in the Rise of Baroque and Renaissance Music," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(4), pages 277-297, November.
    3. Elish Kelly & John O’Hagan, 2007. "Geographic clustering of economic activity: The case of prominent western visual artists," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(2), pages 109-128, June.
    4. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    5. Glaeser, Edward L & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1992. "Growth in Cities," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1126-1152, December.
      • Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991. "Growth in Cities," NBER Working Papers 3787, National Bureau of Economic Research, Inc.
      • Glaeser, Edward Ludwig & Kallal, Hedi D. & Scheinkman, Jose A. & Shleifer, Andrei, 1992. "Growth in Cities," Scholarly Articles 3451309, Harvard University Department of Economics.
    6. Pierre Azoulay & Joshua S. Graff Zivin & Jialan Wang, 2010. "Superstar Extinction," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 549-589.
    7. Hellmanzik, Christiane, 2010. "Location matters: Estimating cluster premiums for prominent modern artists," European Economic Review, Elsevier, vol. 54(2), pages 199-218, February.
    8. David W. Galenson & Bruce A. Weinberg, 2000. "Age and the Quality of Work: The Case of Modern American Painters," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 761-777, August.
    9. Adair Morse, 2006. "Are elite universities losing their competitive edge?," Proceedings, Federal Reserve Bank of Cleveland.
    10. Victor Ginsburgh & Sheila Weyers, 2006. "Creativity and Life Cycles of Artists," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 30(2), pages 91-107, September.
    11. David W. Galenson & Bruce A. Weinberg, 2001. "Creating Modern Art: The Changing Careers of Painters in France from Impressionism to Cubism," American Economic Review, American Economic Association, vol. 91(4), pages 1063-1071, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hellmanzik, Christiane, 2010. "Location matters: Estimating cluster premiums for prominent modern artists," European Economic Review, Elsevier, vol. 54(2), pages 199-218, February.
    2. Hellmanzik, Christiane, 2013. "Democracy and economic outcomes: Evidence from the superstars of modern art," European Journal of Political Economy, Elsevier, vol. 30(C), pages 58-69.
    3. Douglas J. Hodgson & Christiane Hellmanzik, 2019. "Relationships between artistic movements and careers of modern artists: evidence from hedonic regressions with auction data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 309-337, June.
    4. Christiane Hellmanzik, 2009. "Artistic styles: revisiting the analysis of modern artists’ careers," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(3), pages 201-232, August.
    5. Douglas Hodgson, 2011. "Age–price profiles for Canadian painters at auction," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(4), pages 287-308, November.
    6. Matthias Krapf, 2015. "Age and complementarity in scientific collaboration," Empirical Economics, Springer, vol. 49(2), pages 751-781, September.
    7. Karol Jan BOROWIECKI, 2011. "War and Creativity: Solving the War-Art Puzzle for Classical Music Composition," Trinity Economics Papers tep0711, Trinity College Dublin, Department of Economics.
    8. Kathryn Graddy & Carl Lieberman, 2018. "Death, Bereavement, and Creativity," Management Science, INFORMS, vol. 64(10), pages 4505-4514, October.
    9. Robert B. Ekelund & John D. Jackson & Robert D. Tollison, 2015. "Age and productivity: An empirical study of early American artists," Southern Economic Journal, John Wiley & Sons, vol. 81(4), pages 1096-1116, April.
    10. Charlie Karlsson, 2011. "Clusters, Networks and Creativity," Chapters, in: David Emanuel Andersson & Åke E. Andersson & Charlotta Mellander (ed.), Handbook of Creative Cities, chapter 5, Edward Elgar Publishing.
    11. Galbraith, John W. & Hodgson, Douglas J., 2012. "Dimension reduction and model averaging for estimation of artists' age-valuation profiles," European Economic Review, Elsevier, vol. 56(3), pages 422-435.
    12. Christiane Hellmanzik, 2013. "Does travel inspire? Evidence from the superstars of modern art," Empirical Economics, Springer, vol. 45(1), pages 281-303, August.
    13. John Galbraith & Douglas Hodgson, 2015. "Innovation, experience and artists’ age-valuation profiles: evidence from eighteenth-century rococo and neoclassical painters," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(3), pages 259-275, August.
    14. Zanola, Roberto & Vecco, Marilena & Jones, Andrew, 2021. "A place for everything and everything in its place: New York's role in the art market," Research in Economics, Elsevier, vol. 75(3), pages 215-224.
    15. Ufuk Akcigit & Murat Celik & Daron Acemoglu, 2014. "Young, Restless and Creative: Openness to Disruption and Creative Innovations," 2014 Meeting Papers 377, Society for Economic Dynamics.
    16. Fabian Waldinger, 2012. "Peer Effects in Science: Evidence from the Dismissal of Scientists in Nazi Germany," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 838-861.
    17. 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.
    18. Borowiecki, Karol Jan & Dahl, Christian Møller, 2021. "What makes an artist? The evolution and clustering of creative activity in the US since 1850," Regional Science and Urban Economics, Elsevier, vol. 86(C).
    19. Elish Kelly & John O’Hagan, 2007. "Geographic clustering of economic activity: The case of prominent western visual artists," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(2), pages 109-128, June.
    20. John O’Hagan & Alan Walsh, 2017. "Historical Migration and Geographic Clustering of Prominent Western Philosophers," Homo Oeconomicus: Journal of Behavioral and Institutional Economics, Springer, vol. 34(1), pages 11-32, April.

    More about this item

    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:iis:dispap:iiisdp296. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Maeve (email available below). General contact details of provider: https://edirc.repec.org/data/cetcdie.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.