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Demand for Ballet: A Non-Parametric Analysis of the 1995 Royal Ballet Summer Season

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  • Jörg Schimmelpfennig

Abstract

Attendance figures for individual seat categories during the 1995 Royal Ballet Summer Season are analysed using a non-parametric median technique. For three out of five categories, demand for full-length ballet turns out to be significantly downward-sloping. The (point) estimates suggest that during the period of observation substantial margins for price cuts existed which would have increased both attendance and revenue. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • 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.
    • Handle: RePEc:kap:jculte:v:21:y:1997:i:2:p:119-127
    DOI: 10.1023/A:1007431510546
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    References listed on IDEAS

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    1. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
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    Cited by:

    1. Karol J. Borowiecki & Catarina Marvao, 2015. "Dance Participation and Attendance in Denmark," ACEI Working Paper Series AWP-01-2015, Association for Cultural Economics International, revised Apr 2015.
    2. 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.
    3. 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.
    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. 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.
    6. Sadik-Zada, Elkhan Richard & Gatto, Andrea, 2021. "The puzzle of greenhouse gas footprints of oil abundance," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    7. Louis Lévy-Garboua & Claude Montmarquette, 2011. "Demand," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 26, Edward Elgar Publishing.
    8. 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.
    9. 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).
    10. 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.

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