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

Citations

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Cited by:

  1. Coccia, Mario, 2019. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 289-304.
  2. 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.
  3. Qizhong Yang & Keiichiro Honda & Tsunehiro Otsuki, 2019. "Structural demand estimation of the response to food safety regulations in the Japanese poultry market," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(3), pages 367-385, September.
  4. 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).
  5. 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.
  6. Rockett, Katharine, 2012. "Perspectives on the knowledge-based society: An introduction to the special issue," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-22.
  7. 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.
  8. 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.
  9. Cinzia Cirillo & Renting Xu & Fabian Bastin, 2016. "A Dynamic Formulation for Car Ownership Modeling," Transportation Science, INFORMS, vol. 50(1), pages 322-335, February.
  10. Liu, Yan & Cirillo, Cinzia, 2018. "A generalized dynamic discrete choice model for green vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 288-302.
  11. Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
  12. Juan Esteban Carranza & Alejandra González-Ramírez & Alex Perez & Juan Sebastián Vélez-Velásquez, 2024. "Exchange rate pass-through in the Colombian car market," International Economics and Economic Policy, Springer, vol. 21(1), pages 151-179, February.
  13. 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.
  14. 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.
  15. Timothy Derdenger & Vineet Kumar, 2019. "Estimating dynamic discrete choice models with aggregate data: Properties of the inclusive value approximation," Quantitative Marketing and Economics (QME), Springer, vol. 17(4), pages 359-384, December.
  16. 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.
  17. Mario Coccia, 2019. "Technological Parasitism," Papers 1901.09073, arXiv.org.
  18. 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.
  19. Yufeng Huang, 2019. "Learning by Doing and the Demand for Advanced Products," Marketing Science, INFORMS, vol. 38(1), pages 107-128, January.
  20. Juan Esteban Carranza & Jesús Antonio Bejarano Rojas & Camila Casas & Alejandra Ximena Gonzalez-Ramirez & Stefany Moreno-Burbano & Fernando Arias-Rodríguez & Juan Sebastián Vélez-Velásquez, 2018. "La industria colombiana en el siglo XXI," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 87, pages 1-69, November.
  21. Timothy Derdenger & Vineet Kumar, 2013. "The Dynamic Effects of Bundling as a Product Strategy," Marketing Science, INFORMS, vol. 32(6), pages 827-859, November.
  22. Takeshi Fukasawa, 2022. "Firm's Static Behavior under Dynamic Demand," Discussion Paper Series DP2022-19, Research Institute for Economics & Business Administration, Kobe University, revised Sep 2022.
  23. Reeling, Carson & Verdier, Valentin & Lupi, Frank, 2016. "Valuing Natural Resources Allocated by Dynamic Lottery," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235673, Agricultural and Applied Economics Association.
  24. Sun, Yutec & Ishihara, Masakazu, 2019. "A computationally efficient fixed point approach to dynamic structural demand estimation," Journal of Econometrics, Elsevier, vol. 208(2), pages 563-584.
  25. Dotun Adebanjo & Pei-Lee Teh & Pervaiz K Ahmed & Erhan Atay & Peter Ractham, 2020. "Competitive Priorities, Employee Management and Development and Sustainable Manufacturing Performance in Asian Organizations," Sustainability, MDPI, vol. 12(13), pages 1-22, July.
  26. Yang Li & Brett R. Gordon & Oded Netzer, 2018. "An Empirical Study of National vs. Local Pricing by Chain Stores Under Competition," Marketing Science, INFORMS, vol. 37(5), pages 812-837, September.
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