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The Effects of Product Ageing on Demand: The Case of Digital Cameras

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Author Info

  • Weifang Lou

    ()
    (School of Economics, La Trobe University)

  • David Prentice

    ()
    (School of Economics, La Trobe University)

  • Xiangkang Yin

    ()
    (School of Economics, La Trobe University)

Abstract

The static differentiated product demand model when applied to products with rapid product turnover and declining prices, yields implausible results. One response is to explicitly model the inter-temporal choices of consumers but computational demands require restrictive assumptions on consumer heterogeneity and limits on the characteristics included in the model. We propose, instead, to supplement the static model with a control for the age that each product has been in the market. This approach is applied to the US digital camera market and we find we obtain more plausible estimates. Our results are consistent with inter- temporal price discrimination by firms. Furthermore, our results suggest that ignoring the effects of product ageing may result in substantially overestimated price elasticities and technological progress and underestimated price-cost mark-ups.

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Bibliographic Info

Paper provided by School of Economics, La Trobe University in its series Working Papers with number 2008.06.

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Length: 45 pages
Date of creation: Nov 2008
Date of revision:
Handle: RePEc:trb:wpaper:2008.06

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Keywords: Discrete Choice; Demand Dynamics; Forward-Looking Behavior; Heterogeneous Preferences;

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References

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  1. 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.
  2. 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.
  3. Martin Shubik, 2009. "Innovation and Equilibrium?," Levine's Working Paper Archive 814577000000000151, David K. Levine.
  4. repec:cdl:compol:217 is not listed on IDEAS
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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, 08.
  10. Igal Hendel & Aviv Nevo, 2006. "Measuring the Implications of Sales and Consumer Inventory Behavior," Econometrica, Econometric Society, vol. 74(6), pages 1637-1673, November.
  11. Daniel A. Ackerberg & Marc Rysman, 2005. "Unobserved Product Differentiation in Discrete-Choice Models: Estimating Price Elasticities and Welfare Effects," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 771-788, Winter.
  12. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63 Elsevier.
  13. Steven Berry & James Levinsohn & Ariel Pakes, 1995. "Voluntary Export Restraints on Automobiles: Evaluating a Strategic TradePolicy," NBER Working Papers 5235, National Bureau of Economic Research, Inc.
  14. 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.
  15. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July.
  16. Gautam Gowrisankaran & Marc Rysman, 2007. "Dynamics of Consumer Demand for New Durable Goods," Boston University - Department of Economics - Working Papers Series WP2007-024, Boston University - Department of Economics.
  17. Aviv Nevo, 2000. "A Practitioner's Guide to Estimation of Random-Coefficients Logit Models of Demand," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(4), pages 513-548, December.
  18. Tülin Erdem & Michael Keane & T. Öncü & Judi Strebel, 2005. "Learning About Computers: An Analysis of Information Search and Technology Choice," Quantitative Marketing and Economics, Springer, vol. 3(3), pages 207-247, September.
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Citations

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Cited by:
  1. Aguirregabiria, Victor & Nevo, Aviv, 2010. "Recent developments in empirical IO: dynamic demand and dynamic games," MPRA Paper 27814, University Library of Munich, Germany.
  2. 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.

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