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Cinema Demand In Germany

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  • Ralf Dewenter
  • Michael Westermann

Abstract

This paper examines the German cinema market using time series data covering the period 1950–2002. Applying estimation techniques such as OLS, 2SLS and SUR, we identify interrelations between the number of seats, the average real prices and the demand for movies per capita. Furthermore, we test for the long-run relationship between demand, prices and real income and estimate the elasticity of demand with respect to these variables. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • Ralf Dewenter & Michael Westermann, 2005. "Cinema Demand In Germany," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 213-231, August.
    • Handle: RePEc:kap:jculte:v:29:y:2005:i:3:p:213-231
    DOI: 10.1007/s10824-005-6421-0
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    References listed on IDEAS

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    1. Victor Ginsburgh & Sheila Weyers, 1999. "On the Perceived Quality of Movies," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 269-283, November.
    2. Chris Hand, 2002. "The Distribution and Predictability of Cinema Admissions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(1), pages 53-64, February.
    3. Christian Jansen, 2003. "The Performance of German Motion Pictures, Profits, and," Industrial Organization 0302002, University Library of Munich, Germany.
    4. M. Bagella & L. Becchetti, 1999. "The Determinants of Motion Picture Box Office Performance: Evidence from Movies Produced in Italy," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 237-256, November.
    5. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    6. Perino, Grischa & Schulze, Günther G., 2003. "Competition, cultural autonomy and global governance: The audio-visual sector in Germany," HWWA Reports 232, Hamburg Institute of International Economics (HWWA).
    7. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    8. 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.
    9. Steven Albert, 1998. "Movie Stars and the Distribution of Financially Successful Films in the Motion Picture Industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 22(4), pages 249-270, December.
    10. Arthur De Vany & W. Walls, 1999. "Uncertainty in the Movie Industry: Does Star Power Reduce the Terror of the Box Office?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 285-318, November.
    11. 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.
    12. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
    13. Samuel Cameron, 1999. "Rational addiction and the demand for cinema," Applied Economics Letters, Taylor & Francis Journals, vol. 6(9), pages 617-620.
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    More about this item

    Keywords

    cinema demand; cinema supply; cointegration analysis; SUR;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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