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Cheap Tuesdays and the demand for cinema

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  • de Roos, Nicolas
  • McKenzie, Jordi

Abstract

Many movie markets are characterised by extensive uniform pricing practices, hampering the ability to estimate price elasticities of demand. Australia presents a rare exception, with most cinemas offering cheap Tuesday ticket prices. We exploit this feature to estimate a random coefficients discrete choice model of demand for the Sydney region in 2007. We harness an extensive set of film, cinema, and time-dependent characteristics to build a rich demand system. Our results are consistent with a market expansion effect from the practice of discounted Tuesday tickets, and suggest that cinemas could profit from price dispersion by discounts based on observable characteristics.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:indorg:v:33:y:2014:i:c:p:93-109
    DOI: 10.1016/j.ijindorg.2014.02.004
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    1. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 964-982, December.
    2. Gordon Dahl & Stefano DellaVigna, 2009. "Does Movie Violence Increase Violent Crime?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 677-734.
    3. David A. Reinstein & Christopher M. Snyder, 2005. "The Influence Of Expert Reviews On Consumer Demand For Experience Goods: A Case Study Of Movie Critics," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 27-51, March.
    4. 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.
    5. Moul, Charles C., 2008. "Retailer entry conditions and wholesaler conduct: The theatrical distribution of motion pictures," International Journal of Industrial Organization, Elsevier, vol. 26(4), pages 966-983, July.
    6. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    7. 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.
    8. De Vany, Arthur & Walls, W David, 1996. "Bose-Einstein Dynamics and Adaptive Contracting in the Motion Picture Industry," Economic Journal, Royal Economic Society, vol. 106(439), pages 1493-1514, November.
    9. Katherine Ho & Justin Ho & Julie Holland Mortimer, 2012. "The Use of Full-Line Forcing Contracts in the Video Rental Industry," American Economic Review, American Economic Association, vol. 102(2), pages 686-719, April.
    10. Charles C. Moul, 2007. "Measuring Word of Mouth's Impact on Theatrical Movie Admissions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(4), pages 859-892, December.
    11. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 964-982, December.
    12. Enrico Moretti, 2011. "Social Learning and Peer Effects in Consumption: Evidence from Movie Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 356-393.
    13. Liran Einav, 2007. "Seasonality in the U.S. motion picture industry," RAND Journal of Economics, RAND Corporation, vol. 38(1), pages 127-145, March.
    14. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    15. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    16. Guido W. Imbens & Tony Lancaster, 1994. "Combining Micro and Macro Data in Microeconometric Models," Review of Economic Studies, Oxford University Press, vol. 61(4), pages 655-680.
    17. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
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    Cited by:

    1. Burmester, Alexa B. & Eggers, Felix & Clement, Michel & Prostka, Tim, 2016. "Accepting or fighting unlicensed usage: Can firms reduce unlicensed usage by optimizing their timing and pricing strategies?," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 343-356.
    2. J. McKenzie & W. D. Walls, "undated". "File Sharing and Film Revenues: An Empirical Analysis," Working Papers 2013-01, Department of Economics, University of Calgary.
    3. Xavier D’Haultfœuille & Isis Durrmeyer & Philippe Février, 2019. "Automobile Prices in Market Equilibrium with Unobserved Price Discrimination," Review of Economic Studies, Oxford University Press, vol. 86(5), pages 1973-1998.
    4. Sara Suarez-Fernandez & Maria Jose Perez-Villadoniga & Juan Prieto-Rodriguez, 2018. "Are We (Un)Consciously Driven by First Impressions? Price Declarations vs. Observed Cinema Demand when VAT Increases," ACEI Working Paper Series AWP-02-2018, Association for Cultural Economics International, revised Jul 2018.
    5. Charles B. Weinberg & Cord Otten & Barak Orbach & Jordi McKenzie & Ricard Gil & Darlene C. Chisholm & Suman Basuroy, 2021. "Technological change and managerial challenges in the movie theater industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(2), pages 239-262, June.
    6. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    7. McKenzie Jordi & Walls W. David, 2016. "File Sharing and Film Revenues: Estimates of Sales Displacement at the Box Office," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(1), pages 25-57, January.
    8. Wu, Chunhua & Weinberg, Charles B. & Wang, Qiyuan & Ho, Jason Y.C., 2022. "Administrative trade barrier: An empirical analysis of exporting Hollywood movies to China," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1253-1274.
    9. McKenzie, Jordi & Crosby, Paul & Cox, Joe & Collins, Alan, 2019. "Experimental evidence on demand for “on-demand” entertainment," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 98-113.
    10. Marcella Nicolini & Claudio A. Piga & Andrea Pozzi, 2023. "From uniform to bespoke prices: Hotel pricing during EURO 2016," Quantitative Marketing and Economics (QME), Springer, vol. 21(3), pages 333-355, September.

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    More about this item

    Keywords

    Motion pictures; Cinema demand; Discrete choice model; Market expansion;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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