IDEAS home Printed from
   My bibliography  Save this article

What difference does dynamics make? The case of digital cameras


  • Lou, Weifang
  • Prentice, David
  • Yin, Xiangkang


When the well-known BLP model is applied to products with rapid technological changes and declining prices it tends to yield implausible results. A sequence of increasingly sophisticated dynamic demand models, most recently Gowrisankaran and Rysman (2009, hereafter GR), have been developed to overcome these problems. We apply both models to new data on the US digital camera market. In addition, we demonstrate that the GR model can be specified as a BLP model plus an additional set of terms. This suggests that a dynamic model can be estimated as a BLP model plus a non-parametric function which is less computationally demanding. As a first step to implementing this semi-parametric approach we estimate a BLP model augmented with age as a proxy for the non-parametric component. We find that demand for digital cameras is more elastic when demand dynamics is accounted for in both the dynamic model and the BLP model with the age proxy. This suggests that the market is more competitive though the results are consistent with firms engaging in intertemporal price discrimination. Merger simulations predict the lowest price and quantity changes using the GR model.

Suggested Citation

  • Lou, Weifang & Prentice, David & Yin, Xiangkang, 2012. "What difference does dynamics make? The case of digital cameras," International Journal of Industrial Organization, Elsevier, vol. 30(1), pages 30-40.
  • Handle: RePEc:eee:indorg:v:30:y:2012:i:1:p:30-40 DOI: 10.1016/j.ijindorg.2011.05.001

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    2. Lawrence M. Ausubel & Raymond J. Deneckere, 1987. "One is Almost Enough for Monopoly," RAND Journal of Economics, The RAND Corporation, vol. 18(2), pages 255-274, Summer.
    3. Lavergne, Pascal & Vuong, Quang H, 1996. "Nonparametric Selection of Regressors: The Nonnested Case," Econometrica, Econometric Society, vol. 64(1), pages 207-219, January.
    4. Victor Aguirregabiria & Victor Aguirregabiria & Aviv Nevo & Aviv Nevo, 2010. "Recent Developments in Empirical IO: Dynamic Demand and Dynamic Games," Working Papers tecipa-419, University of Toronto, Department of Economics.
    5. Aviv Nevo, 2000. "Mergers with Differentiated Products: The Case of the Ready-to-Eat Cereal Industry," RAND Journal of Economics, The RAND Corporation, vol. 31(3), pages 395-421, Autumn.
    6. Weifang Lou & David Prentice & Xiangkang Yin, 2008. "The Effects of Product Ageing on Demand: The Case of Digital Cameras," Working Papers 2008.06, School of Economics, La Trobe University.
    7. Elizabeth J. Warner & Robert B. Barsky, 1995. "The Timing and Magnitude of Retail Store Markdowns: Evidence from Weekends and Holidays," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 321-352.
    8. Chen, Jiawei & Esteban, Susanna & Shum, Matthew, 2008. "Demand and supply estimation biases due to omission of durability," Journal of Econometrics, Elsevier, vol. 147(2), pages 247-257, December.
    9. Carranza, Juan Esteban, 2010. "Product innovation and adoption in market equilibrium: The case of digital cameras," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 604-618, November.
    10. Michael Waldman, 2003. "Durable Goods Theory for Real World Markets," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 131-154, Winter.
    11. Winston Koh, 2006. "The micro-foundations of intertemporal price discrimination," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 27(2), pages 393-410, January.
    12. Daniel A. Ackerberg, 2003. "Advertising, learning, and consumer choice in experience good markets: an empirical examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 1007-1040, August.
    13. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    14. Christopher R. Knittel & Konstantinos Metaxoglou, 2008. "Estimation of Random Coefficient Demand Models: Challenges, Difficulties and Warnings," NBER Working Papers 14080, National Bureau of Economic Research, Inc.
    15. Junji Xiao, 2008. "Technological advances in digital cameras: Welfare analysis on easy-to-use characteristics," Marketing Letters, Springer, vol. 19(2), pages 171-181, June.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Demand dynamics; Differentiated products; Digital cameras; Merger simulations;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment


    Access and download statistics


    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:eee:indorg:v:30:y:2012:i:1:p:30-40. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.