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Demand for movies in Europe and the effects of multiplex diffusion: a panel approach

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  • Orietta DESSY

  • Marco GAMBARO

Abstract

In this paper we try to test the role of multiplex. While usually multiplex is analysed in supply side since it can reduce the cost of exhibition through scale economies in several function, we focus on demand side. The positive role of multiplex is related to the risk reduction of the audience and the improved condition of new theatres. The possible negative role is related to the competition of big multiplex chains towards traditional theatres that can be moved out of market thus reducing eventually theatres density and overall supply. We explore the movie demand evolution in Europe with a data set of 15 countries from 1989 to 2003. We estimate with a panel approach a simple demand function of film exhibition with yearly tickets per inhabitant as dependent variable where as expected price coefficient is negative and income coefficient is positive. Multiplex diffusion, indicated as the percentage of multiplex seats over total seats, appears to be moderately positive and is 1% significant. The results are robust to different model specification.

Suggested Citation

  • Orietta DESSY & Marco GAMBARO, 2009. "Demand for movies in Europe and the effects of multiplex diffusion: a panel approach," Departmental Working Papers 2009-03, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  • Handle: RePEc:mil:wpdepa:2009-03
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    References listed on IDEAS

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    1. Ravid, S Abraham, 1999. "Information, Blockbusters, and Stars: A Study of the Film Industry," The Journal of Business, University of Chicago Press, vol. 72(4), pages 463-492, October.
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    3. Peter Macmillan & Ian Smith, 2001. "Explaining Post-War Cinema Attendance in Great Britain," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 25(2), pages 91-108, May.
    4. VÍctor Blanco & JosÉ BaÑos Pino, 1997. "Cinema Demand in Spain: A Cointegration Analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 21(1), pages 57-75, March.
    5. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    6. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
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    Cited by:

    1. Sora Park, 2015. "Changing patterns of foreign movie imports, tastes, and consumption in Australia," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 85-98, February.
    2. Böhme Enrico & Müller Christopher, 2011. "Searching for the Concentration-Price Effect in the German Movie Theater Industry," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(4), pages 479-493, August.
    3. Helmut Wittenzellner & Rodrigo Carlos Valverde Bustamante, 2023. "Cinema Visit Or Home Theatre: The Threat Of Video-On-Demand For German Cinemas," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 17(1), pages 146-165.

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    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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