IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v58y2007i7d10.1057_palgrave.jors.2602218.html
   My bibliography  Save this article

Modelling aesthetic variables in the valuation of paintings: an interval goal programming approach

Author

Listed:
  • J Aznar

    (Universidad Politécnica de Valencia)

  • F Guijarro

    (Universidad Politécnica de Valencia)

Abstract

The economic valuation of works of art is a decisive subject in the general field of valuation. Unlike in other areas of valuation, the explanatory power of the directly observable and quantifiable variables is very low, therefore, aesthetic criteria must be used to obtain valuation models with a greater explanatory power. Frequently, these aesthetic criteria are not always precise, and experts usually express them as an interval of values. This paper describes different valuation models that use the goal programming optimisation method to include explanatory variables of the closing price in the form of intervals of values. We have also modelled the possibility that an expert can determine the relevance of each observation in the formation of the valuation function depending on the degree of precision with which the variables have been defined.

Suggested Citation

  • J Aznar & F Guijarro, 2007. "Modelling aesthetic variables in the valuation of paintings: an interval goal programming approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(7), pages 957-963, July.
  • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:7:d:10.1057_palgrave.jors.2602218
    DOI: 10.1057/palgrave.jors.2602218
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2602218
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.jors.2602218?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A. Charnes & W. W. Cooper & R. O. Ferguson, 1955. "Optimal Estimation of Executive Compensation by Linear Programming," Management Science, INFORMS, vol. 1(2), pages 138-151, January.
    2. Charnes, A. & Collomb, B., 1972. "Optimal economic stabilization policy: Linear goal-interval programming models," Socio-Economic Planning Sciences, Elsevier, vol. 6(4), pages 431-435, August.
    3. 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.
    4. Corinna Czujack, 1997. "Picasso Paintings at Auction, 1963–1994," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 21(3), pages 229-247, September.
    5. B Vitoriano & C Romero, 1999. "Extended interval goal programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(12), pages 1280-1283, December.
    6. Richard Agnello & Renée Pierce, 1996. "Financial returns, price determinants, and genre effects in American art investment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(4), pages 359-383, December.
    7. Corinna Czujack, 1997. "Picasso paintings at auction, 1963-1994," ULB Institutional Repository 2013/193273, ULB -- Universite Libre de Bruxelles.
    8. Inuiguchi, Masahiro & Kume, Yasufumi, 1991. "Goal programming problems with interval coefficients and target intervals," European Journal of Operational Research, Elsevier, vol. 52(3), pages 345-360, June.
    9. Jones, D. F. & Tamiz, M., 1995. "Expanding the flexibility of goal programming via preference modelling techniques," Omega, Elsevier, vol. 23(1), pages 41-48, February.
    10. Calin Valsan, 2002. "Canadian versus American Art: What Pays Off and Why," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(3), pages 203-216, August.
    11. R. Ekelund & Rand Ressler & John Watson, 2000. "The ``Death-Effect'' in Art Prices: A Demand-Side Exploration," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 24(4), pages 283-300, November.
    12. J W Chinneck & K Ramadan, 2000. "Linear programming with interval coefficients," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(2), pages 209-220, February.
    13. Tamiz, Mehrdad & Jones, Dylan & Romero, Carlos, 1998. "Goal programming for decision making: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 111(3), pages 569-581, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jerónimo Aznar & Francisco Guijarro & José Moreno-Jiménez, 2011. "Mixed valuation methods: a combined AHP-GP procedure for individual and group multicriteria agricultural valuation," Annals of Operations Research, Springer, vol. 190(1), pages 221-238, October.
    2. Kashyap Ravi, 2020. "The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-23, April.
    3. Sun, Yuying & Zhang, Xinyu & Wan, Alan T.K. & Wang, Shouyang, 2022. "Model averaging for interval-valued data," European Journal of Operational Research, Elsevier, vol. 301(2), pages 772-784.
    4. Ravi Kashyap, 2019. "The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance," Papers 1908.03233, arXiv.org, revised Jan 2021.
    5. Kashyap Ravi, 2020. "The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-23, April.

    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. Hamalainen, Raimo P. & Mantysaari, Juha, 2002. "Dynamic multi-objective heating optimization," European Journal of Operational Research, Elsevier, vol. 142(1), pages 1-15, October.
    2. Chang, Ching-Ter, 2011. "Multi-choice goal programming with utility functions," European Journal of Operational Research, Elsevier, vol. 215(2), pages 439-445, December.
    3. Romero, Carlos, 2004. "A general structure of achievement function for a goal programming model," European Journal of Operational Research, Elsevier, vol. 153(3), pages 675-686, March.
    4. Aznar, Jeronimo & Guijarro, Francisco, 2007. "Estimating regression parameters with imprecise input data in an appraisal context," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1896-1907, February.
    5. Bronwyn Coate & Tim R.L. Fry, 2012. "Better off Dead? Prices Realised for Australian Paintings Sold at Auction," ACEI Working Paper Series AWP-02-2012, Association for Cultural Economics International, revised Feb 2012.
    6. Michel Clement & Anke Lepthien & Tim Schulze, 2016. "Erfolgsfaktoren bei der Vermarktung von Kunst [Success Factors for Marketing of Arts]," Schmalenbach Journal of Business Research, Springer, vol. 68(4), pages 377-400, December.
    7. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    8. Chang, Ching-Ter, 2007. "Multi-choice goal programming," Omega, Elsevier, vol. 35(4), pages 389-396, August.
    9. Ching-Ter Chang, 2006. "Mixed binary interval goal programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 469-473, April.
    10. Szyszka Adrianna & Białowąs Sylwester, 2019. "Prices of works of art by living and deceased artists auctioned in Poland from 1989 to 2012," Economics and Business Review, Sciendo, vol. 5(4), pages 112-127, December.
    11. Chang, Ching-Ter & Lin, Teng-Chiao, 2009. "Interval goal programming for S-shaped penalty function," European Journal of Operational Research, Elsevier, vol. 199(1), pages 9-20, November.
    12. Marie BLUM, 2021. "Which price, if we all like it? Effects of liking and emotional consensus on art prices in auctions," Working Papers of LaRGE Research Center 2021-11, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    13. Belma Öztürkkal & Aslı Togan-Eğrican, 2020. "Art investment: hedging or safe haven through financial crises," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(3), pages 481-529, September.
    14. Marinelli, Nicoletta & Palomba, Giulio, 2011. "A model for pricing Italian Contemporary Art paintings at auction," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 212-224, May.
    15. Garay, Urbi, 2021. "Determinants of art prices and performance by movements: Long-run evidence from an emerging market," Journal of Business Research, Elsevier, vol. 127(C), pages 413-426.
    16. Dominik Filipiak & Agata Filipowska, 2016. "Towards data oriented analysis of the art market: survey and outlook," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 12(1), pages 21-31, June.
    17. Anna Lucińska, 2015. "The Art Market in the European Union," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 21(1), pages 67-79, March.
    18. J P Oddoye & M A Yaghoobi & M Tamiz & D F Jones & P Schmidt, 2007. "A multi-objective model to determine efficient resource levels in a medical assessment unit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1563-1573, December.
    19. Ventura Charlin & Arturo Cifuentes, 2013. "A new financial metric for the art market," Papers 1309.6929, arXiv.org, revised Jul 2015.
    20. 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.

    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:pal:jorsoc:v:58:y:2007:i:7:d:10.1057_palgrave.jors.2602218. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.