IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa06p387.html
   My bibliography  Save this paper

Do Dutch Musea Compete Or Cooperate?

Author

Listed:
  • Thomas De Graaff

    ()

  • Jaap Boter

    ()

  • Jan Rouwendal

    ()

Abstract

This paper looks into the effect of distance on market shares of Dutch museums. To this end, we assume a generic distance decay function for all museums. In addition, we allow for spatial dependence between museums to account for local competition or synergy effects. Using a unique transaction database with the visiting behavior of 80,821 museum cardholders to 108 Dutch museums, we are able to calculate market shares of each museum in all 484 Dutch municipalities. To account for possible measurement error in the market shares, we adopt a spatial two error component model. Finally, we allow for additional heterogeneity by segmenting the 108 museums using a mixture approach. Without segmenting, preliminary results indicate positive spatial dependence between museums, which points to the conclusion that -- in general -- museums benefit from each others presence.

Suggested Citation

  • Thomas De Graaff & Jaap Boter & Jan Rouwendal, 2006. "Do Dutch Musea Compete Or Cooperate?," ERSA conference papers ersa06p387, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa06p387
    as

    Download full text from publisher

    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa06/papers/387.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Wansbeek, Tom & Kapteyn, Arie, 1982. "A Class of Decompositions of the Variance-Covariance Matrix of a Generalized Error Components Model," Econometrica, Econometric Society, vol. 50(3), pages 713-724, May.
    2. Walter Santagata & Giovanni Signorello, 2000. "Contingent Valuation of a Cultural Public Good and Policy Design: The Case of ``Napoli Musei Aperti''," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, pages 181-204.
    3. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    4. Leisch, Friedrich, 2004. "FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i08).
    5. José Sanz & Luis Herrero & Ana Bedate, 2003. "Contingent Valuation and Semiparametric Methods: A Case Study of the National Museum of Sculpture in Valladolid, Spain," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, pages 241-257.
    6. Marilena Pollicino & David Maddison, 2001. "Valuing the Benefits of Cleaning Lincoln Cathedral," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, pages 131-148.
    Full references (including those not matched with items on IDEAS)

    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:wiw:wiwrsa:ersa06p387. 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: (Gunther Maier). General contact details of provider: http://www.ersa.org .

    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.