IDEAS home Printed from https://ideas.repec.org/p/usf/wpaper/0216.html
   My bibliography  Save this paper

A Structural Model of Advertising Signaling and Social Learning: The Case of the Motion Picture Industry

Author

Listed:
  • Haiyan Liu

    (Department of Economics, University of South Florida)

Abstract

This paper empirically studies how social learning among consumers shapes firms' optimal strategies of using advertising to signal product quality. I present an equilibrium model that describes both consumers and firms'learning and decision-making under quality uncertainty. My model allows me to distinguish between two roles of informative advertising reaching consumers and signaling product quality. I apply the model to the U.S. motion picture theatrical market where advertising and social learning are two main factors for a new movie's success. The structural estimates imply that movie studios signaling advertising only helps to reduce consumers' uncertainty by less than 10 percent. Word-of-mouth is a much more efficient learning channel for consumers, reducing their uncertainty by more than 90 percent. I also find that around 27 percent of advertising spending for movies in my sample is used for signaling product quality, while 73 percent is used for reaching consumers. Studios tendency to advertise more during the pre-release rather than the post-release weeks is explained to a large extent by the signaling purpose.

Suggested Citation

  • Haiyan Liu, 2016. "A Structural Model of Advertising Signaling and Social Learning: The Case of the Motion Picture Industry," Working Papers 0216, University of South Florida, Department of Economics.
  • Handle: RePEc:usf:wpaper:0216
    as

    Download full text from publisher

    File URL: https://www.usf.edu/arts-sciences/departments/economics/documents/ads_movie_HaiyanLiu_020916.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Linnemer, Laurent, 2002. "Price and advertising as signals of quality when some consumers are informed," International Journal of Industrial Organization, Elsevier, vol. 20(7), pages 931-947, September.
    2. Che‐Lin Su & Kenneth L. Judd, 2012. "Constrained Optimization Approaches to Estimation of Structural Models," Econometrica, Econometric Society, vol. 80(5), pages 2213-2230, September.
    3. Thomas, Louis & Shane, Scott & Weigelt, Keith, 1998. "An empirical examination of advertising as a signal of product quality," Journal of Economic Behavior & Organization, Elsevier, vol. 37(4), pages 415-430, December.
    4. Milgrom, Paul & Roberts, John, 1986. "Price and Advertising Signals of Product Quality," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 796-821, August.
    5. 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.
    6. Laurent Linnemer, 2008. "Dissipative Advertising Signals Quality even without Repeat Purchases," CESifo Working Paper Series 2310, CESifo.
    7. Ching, Andrew T., 2010. "Consumer learning and heterogeneity: Dynamics of demand for prescription drugs after patent expiration," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 619-638, November.
    8. Susan Athey, 2002. "Monotone Comparative Statics under Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 187-223.
    9. 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.
    10. John H. Roberts & Glen L. Urban, 1988. "Modeling Multiattribute Utility, Risk, and Belief Dynamics for New Consumer Durable Brand Choice," Management Science, INFORMS, vol. 34(2), pages 167-185, February.
    11. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    12. Kihlstrom, Richard E & Riordan, Michael H, 1984. "Advertising as a Signal," Journal of Political Economy, University of Chicago Press, vol. 92(3), pages 427-450, June.
    13. Tülin Erdem & Michael P. Keane & Baohong Sun, 2008. "A Dynamic Model of Brand Choice When Price and Advertising Signal Product Quality," Marketing Science, INFORMS, vol. 27(6), pages 1111-1125, 11-12.
    14. Andrew T. Ching, 2010. "A Dynamic Oligopoly Structural Model For The Prescription Drug Market After Patent Expiration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(4), pages 1175-1207, November.
    15. Elberse, Anita & Anand, Bharat, 2007. "The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market," Information Economics and Policy, Elsevier, vol. 19(3-4), pages 319-343, October.
    16. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    17. Kyle Bagwell (ed.), 2001. "The Economics of Advertising," Books, Edward Elgar Publishing, number 2094.
    18. Dmitri Byzalov & Ron Shachar, 2004. "The Risk Reduction Role of Advertising," Quantitative Marketing and Economics (QME), Springer, vol. 2(4), pages 283-320, December.
    19. De Vany, Arthur & Lee, Cassey, 2001. "Quality signals in information cascades and the dynamics of the distribution of motion picture box office revenues," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 593-614, March.
    20. Mark N. Hertzendorf, 1993. "I'm Not a High-Quality Firm -- But I Play One on TV," RAND Journal of Economics, The RAND Corporation, vol. 24(2), pages 236-247, Summer.
    21. Che-Lin Su, 2014. "Estimating discrete-choice games of incomplete information: Simple static examples," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 167-207, June.
    22. Gerard R. Butters, 1977. "Equilibrium Distributions of Sales and Advertising Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 465-491.
    23. Ohio University & Department of Economics & Hailey Hayeon Joo, 2009. "Social Learning and Optimal Advertising in the Motion Picture Industry," 2009 Meeting Papers 513, Society for Economic Dynamics.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
    2. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
    3. Régis Chenavaz & Sajjad M. Jasimuddin, 2017. "An analytical model of the relationship between product quality and advertising," Post-Print hal-01685892, HAL.
    4. Grunewald, Andreas & Kräkel, Matthias, 2017. "Advertising as signal jamming," International Journal of Industrial Organization, Elsevier, vol. 55(C), pages 91-113.
    5. Laurent Linnemer, 2008. "Dissipative Advertising Signals Quality Even Without Repeat Purchases," Working Papers 2008-18, Center for Research in Economics and Statistics.
    6. Nitin Mehta & Xinlei (Jack) Chen & Om Narasimhan, 2008. "Informing, Transforming, and Persuading: Disentangling the Multiple Effects of Advertising on Brand Choice Decisions," Marketing Science, INFORMS, vol. 27(3), pages 334-355, 05-06.
    7. Ching, Andrew T. & Erdem, Tülin & Keane, Michael P., 2014. "A simple method to estimate the roles of learning, inventories and category consideration in consumer choice," Journal of choice modelling, Elsevier, vol. 13(C), pages 60-72.
    8. Guofang Huang & Matthew Shum & Wei Tan, 2019. "Is pharmaceutical detailing informative? Evidence from contraindicated drug prescriptions," Quantitative Marketing and Economics (QME), Springer, vol. 17(2), pages 135-160, June.
    9. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2017. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 223-257, Springer.
    10. Xu, Yan, 2017. "Essays on preference formation and home production," Other publications TiSEM b028fd7e-53ba-4ff6-97eb-4, Tilburg University, School of Economics and Management.
    11. Bronnenberg, Bart & Dube, Jean-Pierre, 2016. "The Formation of Consumer Brand Preferences," CEPR Discussion Papers 11648, C.E.P.R. Discussion Papers.
    12. Moraga-Gonzalez, Jose Luis, 2000. "Quality uncertainty and informative advertising," International Journal of Industrial Organization, Elsevier, vol. 18(4), pages 615-640, May.
    13. Simon P. Anderson & Régis Renault, 2006. "Advertising Content," American Economic Review, American Economic Association, vol. 96(1), pages 93-113, March.
    14. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
    15. Brett Hollenbeck & Sridhar Moorthy & Davide Proserpio, 2019. "Advertising Strategy in the Presence of Reviews: An Empirical Analysis," Marketing Science, INFORMS, vol. 38(5), pages 793-811, September.
    16. Simon P. Anderson & Régis Renault, 2013. "The Advertising Mix for a Search Good," Management Science, INFORMS, vol. 59(1), pages 69-83, April.
    17. repec:dau:papers:123456789/12407 is not listed on IDEAS
    18. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899.
    19. Yanyan He & Juan Zhang & Qinglong Gou & Gongbing Bi, 2018. "Supply chain decisions with reference quality effect under the O2O environment," Annals of Operations Research, Springer, vol. 268(1), pages 273-292, September.
    20. Kyle Bagwell & Garey Ramey, 1988. "Advertising and Limit Pricing," RAND Journal of Economics, The RAND Corporation, vol. 19(1), pages 59-71, Spring.
    21. Thomas de Haan & Theo Offerman & Randolph Sloof, 2015. "Money Talks? An Experimental Investigation Of Cheap Talk And Burned Money," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1385-1426, November.

    More about this item

    Keywords

    Advertising; Signaling; Social Learning; Information; Motion Picture Industry;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:usf:wpaper:0216. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Diogo Baerlocher (email available below). General contact details of provider: https://edirc.repec.org/data/deusfus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.