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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. 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.
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    5. 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.
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    7. 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.
    8. 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.
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    10. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
    11. 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.
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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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