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Estimation of Demand Function for Performing Arts: Empirical Analysis

Author

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  • Ozhegova, A.

    (National Research University Higher School of Economics, Perm, Russia)

  • Ozhegov, E.

    (National Research University Higher School of Economics, Perm, Russia)

Abstract

Government-subsidized theatres in Russia aim to increase both revenue and number of tickets sold. Achievement of such a goal is closely connected with study of theatre tickets demand function focusing on the estimation of price elasticity of demand. Previous papers studied price elasticity of demand for theatrical performances provide controversial results. Estimates of price elasticity varies with countries, theatres, segments of theatre audience and even with level of data aggregation. Ticket sales and price data aggregation at the national level or theatre level typically does not allow to control for the differences in produced cultural goods quality. Incorrect control or ignoring of a theatre, performances and seats quality leads to a problem of omitted variables and bias in price elasticity estimates. In this paper we employ disaggregated ticket sales data for four seasons of Perm opera and ballet theatre and estimate the price effect on the theatrical demand for various performance types and seats in the hall. We use censored quantile regression to estimate the parameters of theatre demand function. We reveal the weak elasticity of demand for Perm opera and ballet theatre. We also show that ignoring the limited capacity of the theatre hall, characteristics of performances and seats quality leads to biased estimates of demand function parameters.

Suggested Citation

  • 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.
  • Handle: RePEc:nea:journl:y:2018:i:37:p:87-110
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    References listed on IDEAS

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    1. Jeffery Borland, 2003. "Demand for Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 478-502, Winter.
    2. Henry Hansmann, 1981. "Nonprofit Enterprise in the Performing Arts," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 341-361, Autumn.
    3. Orbach, Barak Y. & Einav, Liran, 2007. "Uniform prices for differentiated goods: The case of the movie-theater industry," International Review of Law and Economics, Elsevier, vol. 27(2), pages 129-153.
    4. 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.
    5. Gapinski, James H, 1984. "The Economics of Performing Shakespeare," American Economic Review, American Economic Association, vol. 74(3), pages 458-466, June.
    6. 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.
    7. 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.
    8. Seaman, Bruce A, 2006. "Empirical Studies of Demand for the Performing Arts," 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 14, pages 415-472, Elsevier.
    9. Jenkins, Stephen & Austen-Smith, David, 1987. "Interdependent decision-making in non-profit industries: A simultaneous equation analysis of English provincial theatre," International Journal of Industrial Organization, Elsevier, vol. 5(2), pages 149-174.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Günther Schulze & Anselm Rose, 1998. "Public Orchestra Funding in Germany – An Empirical Investigation," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 22(4), pages 227-247, December.
    15. 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.
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    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.

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    More about this item

    Keywords

    demand; theatre; cultural economics; price elasticity;
    All these keywords.

    JEL classification:

    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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