IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v17y2018i3d10.1057_s41272-017-0108-y.html
   My bibliography  Save this article

Heterogeneity in demand for performances and seats in the theatre

Author

Listed:
  • Alina Ozhegova

    (National Research University Higher School of Economics)

  • Evgeniy M. Ozhegov

    (National Research University Higher School of Economics)

Abstract

Studying the heterogeneity of consumers allows to price the product differently for consumer segments or groups of a product. In this paper, we estimate a model of aggregate demand for Perm Opera and Ballet Theatre focusing on the heterogeneity in price effect on demand for tickets on different performances and seats. We estimate the parameters of demand function using censored quantile regression that accounts for the limited capacity of the theatre house. We reveal the price effect variation across different types of theatrical productions and seats with lower elastic demand on ballets and for seats of higher quality.

Suggested Citation

  • Alina Ozhegova & Evgeniy M. Ozhegov, 2018. "Heterogeneity in demand for performances and seats in the theatre," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(3), pages 131-145, June.
  • Handle: RePEc:pal:jorapm:v:17:y:2018:i:3:d:10.1057_s41272-017-0108-y
    DOI: 10.1057/s41272-017-0108-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-017-0108-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41272-017-0108-y?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. Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015. "Quantile regression with censoring and endogeneity," Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
    2. Marta Zieba, 2009. "Full-income and price elasticities of demand for German public theatre," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(2), pages 85-108, May.
    3. Forrest, David & Grime, Keith & Woods, Robert, 2000. "Is It Worth Subsidising Regional Repertory Theatre?," Oxford Economic Papers, Oxford University Press, vol. 52(2), pages 381-397, April.
    4. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    5. Jonathan Corning & Armando Levy, 2002. "Demand for Live Theater with Market Segmentation and Seasonality," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(3), pages 217-235, August.
    6. Gustavo Vulcano & Garrett van Ryzin & Richard Ratliff, 2012. "Estimating Primary Demand for Substitutable Products from Sales Transaction Data," Operations Research, INFORMS, vol. 60(2), pages 313-334, April.
    7. K. Willis & J. Snowball, 2009. "Investigating how the attributes of live theatre productions influence consumption choices using conjoint analysis: the example of the National Arts Festival, South Africa," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(3), pages 167-183, August.
    8. Louis Lévy-Garboua & Claude Montmarquette, 1996. "A microeconometric study of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(1), pages 25-50, March.
    9. Jörg Schimmelpfennig, 1997. "Demand for Ballet: A Non-Parametric Analysis of the 1995 Royal Ballet Summer Season," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 21(2), pages 119-127, June.
    10. Throsby, David, 1994. "The Production and Consumption of the Arts: A View of Cultural Economics," Journal of Economic Literature, American Economic Association, vol. 32(1), pages 1-29, March.
    11. Daniel Urrutiaguer, 2002. "Quality Judgements and Demand for French Public Theatre," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(3), pages 185-202, August.
    12. Jani-Petri Laamanen, 2013. "Estimating demand for opera using sales system data: the case of Finnish National Opera," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 417-432, November.
    13. Hong H. & Chernozhukov V., 2002. "Three-Step Censored Quantile Regression and Extramarital Affairs," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 872-882, September.
    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. Evgeniy M. Ozhegov & Alina Ozhegova, 2018. "Segmentation of Theatre Audiences: A Latent Class Approach for Combined Data," HSE Working papers WP BRP 198/EC/2018, National Research University Higher School of Economics.
    2. Eric Kolhede & J. Tomas Gomez-Arias & Anna Maximova, 2023. "Price elasticity in the performing arts: a segmentation approach," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 523-550, September.

    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. Alina R. Buzanakova & Evgeniy M. Ozhegov, 2016. "Demand for Performing Arts: The Effect of Unobserved Quality on Price Elasticity," HSE Working papers WP BRP 156/EC/2016, National Research University Higher School of Economics.
    2. Ozhegova, A. & Ozhegov, E., 2018. "Estimation of Demand Function for Performing Arts: Empirical Analysis," Journal of the New Economic Association, New Economic Association, vol. 37(1), pages 87-110.
    3. José Grisolía & Kenneth Willis, 2012. "A latent class model of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 113-139, May.
    4. Evgeniy M. Ozhegov & Alina Ozhegova, 2018. "Segmentation of Theatre Audiences: A Latent Class Approach for Combined Data," HSE Working papers WP BRP 198/EC/2018, National Research University Higher School of Economics.
    5. Evgeniy M. Ozhegov & Alina Ozhegova, 2017. "Regression Tree Model for Analysis of Demand with Heterogeneity and Censorship," HSE Working papers WP BRP 174/EC/2017, National Research University Higher School of Economics.
    6. Ozhegova, Alina & Ozhegov, Evgeniy M., 2020. "Segmentation of theatre audiences: A latent class approach for combined data," Journal of choice modelling, Elsevier, vol. 37(C).
    7. Jani-Petri Laamanen, 2013. "Estimating demand for opera using sales system data: the case of Finnish National Opera," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 417-432, November.
    8. Wiśniewska Aleksandra, 2019. "Quality attributes in the non-market stated-preference based valuation of cultural goods," Central European Economic Journal, Sciendo, vol. 6(53), pages 132-150, January.
    9. Evgeniy M. Ozhegov & Alina Ozhegova, 2020. "Regression tree model for prediction of demand with heterogeneity and censorship," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 489-500, April.
    10. Aleksandra Wiśniewska, 2019. "‘Quality food’ for cultural policies. Quality attributes in the non-market stated-preference based valuation of cultural goods," Working Papers 2019-03, Faculty of Economic Sciences, University of Warsaw.
    11. K. Willis & J. Snowball & C. Wymer & José Grisolía, 2012. "A count data travel cost model of theatre demand using aggregate theatre booking data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 91-112, May.
    12. Louis Lévy-Garboua & Claude Montmarquette, 2011. "Demand," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 26, Edward Elgar Publishing.
    13. van der Ploeg, Frederick, 2006. "The Making of Cultural Policy: A European Perspective," Handbook of the Economics of Art and Culture, in: V.A. Ginsburgh & D. Throsby (ed.), Handbook of the Economics of Art and Culture, edition 1, volume 1, chapter 34, pages 1183-1221, Elsevier.
    14. Aleksandra Wiśniewska & Mikołaj Czajkowski, 2015. "Utilizing the Discrete Choice Experiment Approach for Designing a Socially Efficient Cultural Policy: The case of municipal theaters in Warsaw," Working Papers 2015-36, Faculty of Economic Sciences, University of Warsaw.
    15. Daniel Urrutiaguer, 2011. "Theatre," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 59, Edward Elgar Publishing.
    16. Victor Nyatefe & Mawussé Nézan Komlagan Okey, 2020. "Analyse de la consommation des biens culturels au Togo," African Development Review, African Development Bank, vol. 32(1), pages 80-95, March.
    17. Junlong Wu & Keshen Jiang & Chaoqing Yuan, 2019. "Determinants of demand for traditional Chinese opera," Empirical Economics, Springer, vol. 57(6), pages 2129-2148, December.
    18. José M. Grisolía & Kenneth G. Willis, 2016. "Consumer choice of theatrical productions: a combined revealed preference–stated preference approach," Empirical Economics, Springer, vol. 50(3), pages 933-957, May.
    19. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    20. Avtonomov, Yu., 2012. "Elasticity of Demand for Performing Art at Price and Income: Basic Results of Empiric Research," Journal of the New Economic Association, New Economic Association, vol. 14(2), pages 135-138.

    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:jorapm:v:17:y:2018:i:3:d:10.1057_s41272-017-0108-y. 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.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.