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Product Innovation and Adoption in Market Equilibrium: The Case of Digital Cameras

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  • Juan Esteban Carranza

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Abstract

This paper contains an empirical dynamic model of supply and demand in the market for digital cameras with endogenous product innovation. On the demand side, heterogeneous consumers time optimally the purchase of goods depending on the expected evolution of prices and characteristics of available cameras. On the supply side, firms introduce new camera models accounting for the dynamic value of new products and the optimal behavior of consumers. The model is estimated using data from the market for digital cameras and the estimated model replicates rich dynamic features of the data. The estimated model is used to perform counterfactual computations, which suggest that more competition or lower product introduction costs generate more product variety but lower average product quality.

Suggested Citation

  • Juan Esteban Carranza, 2010. "Product Innovation and Adoption in Market Equilibrium: The Case of Digital Cameras," BORRADORES DE ECONOMÍA Y FINANZAS 007127, UNIVERSIDAD ICESI.
  • Handle: RePEc:col:000130:007127
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    References listed on IDEAS

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    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.
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    6. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    7. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    8. Panle Jia, 2008. "What Happens When Wal-Mart Comes to Town: An Empirical Analysis of the Discount Retailing Industry," Econometrica, Econometric Society, vol. 76(6), pages 1263-1316, November.
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    Citations

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    Cited by:

    1. Ferrari, Paolo, 2014. "The dynamics of modal split for freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 163-176.
    2. Salvador Navarro, 2011. "Using Observed Choices to Infer Agent's Information: Reconsidering the Importance of Borrowing Constraints, Uncertainty and Preferences in College Attendance," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20118, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    3. Salvador Navarro & Jin Zhou, 2017. "Identifying Agent's Information Sets: an Application to a Lifecycle Model of Schooling, Consumption, and Labor Supply," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 58-92, April.
    4. Rockett, Katharine, 2012. "Perspectives on the knowledge-based society: An introduction to the special issue," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages =1-22.
    5. 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.
    6. Weifang Lou, 2009. "Estimating the Impact of a Potential Process Innovation and the Optimal Strategy of Licensing," Working Papers 2009.03, School of Economics, La Trobe University.
    7. Qizhong YANG & Keiichiro HONDA & Tsunehiro OTSUKI, 2018. "Structure Demand Estimation of the Response to Food Safety Regulations in the Japanese Poultry Market," OSIPP Discussion Paper 18E003, Osaka School of International Public Policy, Osaka University.
    8. Ronald L. Goettler & Brett R. Gordon, 2011. "Does AMD Spur Intel to Innovate More?," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1141-1200.
    9. 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.
    10. Prajogo, Daniel I., 2016. "The strategic fit between innovation strategies and business environment in delivering business performance," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 241-249.
    11. Andrew Ching & Masakazu Ishihara, 2014. "Dynamic Demand for New and Used Durable Goods without Physical Depreciation: The Case of Japanese Video Games," 2014 Meeting Papers 782, Society for Economic Dynamics.
    12. 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.
    13. Reeling, Carson & Verdier, Valentin & Lupi, Frank, 2016. "Valuing Natural Resources Allocated by Dynamic Lottery," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235673, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Durable goods; Dynamic demand; Innovation;

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • D10 - Microeconomics - - Household Behavior - - - General
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General

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