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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.
    2. 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.
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    5. 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.
    6. 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.
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    9. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
    10. 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.
    11. 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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    Citations

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    Cited by:

    1. Molina, Jose Alberto & Campaña, Juan Carlos & Ortega, Raquel, 2015. "Time dedicated by consumers to cultural goods: Determinants for Spain," MPRA Paper 68430, University Library of Munich, Germany.
    2. Cristina Muñiz & Plácido Rodríguez & María José Suárez, 2017. "Participation in cultural activities: specification issues," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(1), pages 71-93, February.
    3. Christopher Müller & Enrico Böhme, 2011. "A note on the relationship of mainstream and art house movie theaters," Economics Bulletin, AccessEcon, vol. 31(1), pages 29-34.
    4. Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2013. "Endogeneity and measurement errors when estimating demand functions with average prices: an example from the movie market," Empirical Economics, Springer, vol. 44(3), pages 1477-1496, June.
    5. Greß, Stefan, 2004. "Competition in Social Health Insurance: A Three-Country Comparison," IBES Diskussionsbeiträge 135, University of Duisburg-Essen, Institute of Business and Economic Studie (IBES).
    6. Yamamura, Eiji, 2013. "Externality of young children on parents’ watching of anime: Evidence from Japanese micro data," MPRA Paper 46878, University Library of Munich, Germany.
    7. Castiglione, Concetta & Infante, Davide, 2014. "The evolution of theatre attendance in Italy: patrons and companies," MPRA Paper 63301, University Library of Munich, Germany, revised 07 Mar 2015.
    8. Pablo Brañas-Garza & Maria Paz Espinosa, 2011. "Unraveling Public Good Games," Games, MDPI, Open Access Journal, vol. 2(4), pages 1-18, November.
    9. Louis Lévy-Garboua & Claude Montmarquette, 2011. "Demand," Chapters,in: A Handbook of Cultural Economics, Second Edition, chapter 26 Edward Elgar Publishing.
      • Louis Lévy-Garboua & Claude Montmarquette, 2003. "Demand," Chapters,in: A Handbook of Cultural Economics, chapter 25 Edward Elgar Publishing.
    10. Sangho KIM & Donghyun PARK, 2010. "Addictive behavior in cinema demand: evidence from Korea," Economic Growth Centre Working Paper Series 1002, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    11. de Roos, Nicolas & McKenzie, Jordi, 2014. "Cheap Tuesdays and the demand for cinema," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 93-109.
    12. 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.
    13. José Alberto Molina & Juan Carlos Campaña & Raquel Ortega, 2016. "Time spent on cultural activities at home in Spain: Differences between wage-earners and the self-employed," Documentos de Trabajo dt2016-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    14. repec:bla:ecinqu:v:55:y:2017:i:2:p:736-756 is not listed on IDEAS
    15. Roberto Zanola, 2010. "Major influences on circus attendance," Empirical Economics, Springer, vol. 38(1), pages 159-170, February.
    16. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    17. Sisto, Andrea & Zanola, Roberto, 2004. "Rational Addiction to Cinema? A Dynamic Panel Analysis of European Countries," POLIS Working Papers 38, Institute of Public Policy and Public Choice - POLIS.
    18. Eiji Yamamura, 2014. "The effect of young children on their parents’ anime-viewing habits: evidence from Japanese microdata," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(4), pages 331-349, November.
    19. Henry Aray & Betty Agnani, 2007. "And the Oscar goes to ..... Peeeeedrooooo!," ThE Papers 07/03, Department of Economic Theory and Economic History of the University of Granada..
    20. Luis Antonio Palma M. & Luis Fernando Aguado Q., 2010. "Economía de la cultura. Una nueva área de especialización de la economía," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 12(22), pages 129-165, January-J.
    21. Cuccia, Tiziana, 2009. "A Contingent Ranking Study on the Preferences of Tourists across Seasons/A Contingent Ranking Study on the Preferences of Tourists across Seasons," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 27, pages 161-176, Abril.
    22. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
    23. Fernandez-Blanco, Victor & Orea, Luis & Prieto-Rodriguez, Juan, 2009. "Analyzing consumers heterogeneity and self-reported tastes: An approach consistent with the consumer's decision making process," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 622-633, August.
    24. Molina, Jose Alberto & Campaña, Juan Carlos & Ortega, Raquel, 2015. "What do you prefer for a relaxing and cultural time at home: Reading, watching TV, or listening to the radio?," MPRA Paper 68454, University Library of Munich, Germany.

    More about this item

    Keywords

    cinema demand; cinema supply; cointegration analysis; SUR;

    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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