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Investigating Consumer Purchase Behavior in Related Technology Product Categories

Author

Listed:
  • S. Sriram

    (Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

  • Pradeep K. Chintagunta

    (Booth School of Business, University of Chicago, Chicago, Illinois 60637)

  • Manoj K. Agarwal

    (School of Management, Binghamton University, State University of New York, Binghamton, New York 13902)

Abstract

We present a framework of durable goods purchasing behavior in related technology product categories that incorporates the following aspects unique to technology product purchases. First, it accounts for consumers' anticipation of declining prices (or increasing quality) over time. Second, the durable nature of technology products implies that even if two categories are related as complements, consumers may stagger their purchases over several periods. Third, the forward-looking consumer decision process, as well as the durable nature of technology products, implies that a consumer's purchase in one category will depend on the anticipated price and quality trajectories of all categories. As a potential aid to future researchers, we also lay out the data requirements for empirically estimating the parameters of our model and the consequences of not having various elements of these data on our ability to estimate the parameters. The data available for our empirical analysis are household-level information on -level first-time decisions in three categories—personal computers, digital cameras, and printers. Our results reveal a strong complementary relationship between the three categories. Policy simulations based on a temporary price decrease in any one category provide interesting insights into how consumers would modify their adoption behavior over time and also across categories as a consequence of the price decrease.

Suggested Citation

  • S. Sriram & Pradeep K. Chintagunta & Manoj K. Agarwal, 2010. "Investigating Consumer Purchase Behavior in Related Technology Product Categories," Marketing Science, INFORMS, vol. 29(2), pages 291-314, 03-04.
  • Handle: RePEc:inm:ormksc:v:29:y:2010:i:2:p:291-314
    DOI: 10.1287/mksc.1090.0506
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    as
    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. P. Seetharaman & Siddhartha Chib & Andrew Ainslie & Peter Boatwright & Tat Chan & Sachin Gupta & Nitin Mehta & Vithala Rao & Andrei Strijnev, 2005. "Models of Multi-Category Choice Behavior," Marketing Letters, Springer, vol. 16(3), pages 239-254, December.
    3. Inseong Song & Pradeep K. Chintagunta, 2006. "Measuring Cross-Category Price Effects with Aggregate Store Data," Management Science, INFORMS, vol. 52(10), pages 1594-1609, October.
    4. Harikesh Nair, 2007. "Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 239-292, September.
    5. Rakesh Niraj & V. Padmanabhan & P. B. Seetharaman, 2008. "Research Note—A Cross-Category Model of Households' Incidence and Quantity Decisions," Marketing Science, INFORMS, vol. 27(2), pages 225-235, 03-04.
    6. Ching, Andrew T. & Hayashi, Fumiko, 2010. "Payment card rewards programs and consumer payment choice," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1773-1787, August.
    7. Puneet Manchanda & Asim Ansari & Sunil Gupta, 1999. "The “Shopping Basket”: A Model for Multicategory Purchase Incidence Decisions," Marketing Science, INFORMS, vol. 18(2), pages 95-114.
    8. Matthew Gentzkow, 2007. "Valuing New Goods in a Model with Complementarity: Online Newspapers," American Economic Review, American Economic Association, vol. 97(3), pages 713-744, June.
    9. Harris, Katherine M. & Keane, Michael P., 1998. "A model of health plan choice:: Inferring preferences and perceptions from a combination of revealed preference and attitudinal data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 131-157, November.
    10. Rust, John, 1996. "Numerical dynamic programming in economics," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 14, pages 619-729, Elsevier.
    11. H. M. Amman & D. A. Kendrick & J. Rust (ed.), 1996. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 1, number 1.
    12. Keane, Michael P, 1992. "A Note on Identification in the Multinomial Probit Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 193-200, April.
    13. John Rust, 1997. "Using Randomization to Break the Curse of Dimensionality," Econometrica, Econometric Society, vol. 65(3), pages 487-516, May.
    14. Brett R. Gordon, 2009. "A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry," Marketing Science, INFORMS, vol. 28(5), pages 846-867, 09-10.
    15. Dan Horsky & Sanjog Misra & Paul Nelson, 2006. "Observed and Unobserved Preference Heterogeneity in Brand-Choice Models," Marketing Science, INFORMS, vol. 25(4), pages 322-335, 07-08.
    16. Tülin Erdem & Michael Keane & T. Öncü & Judi Strebel, 2005. "Learning About Computers: An Analysis of Information Search and Technology Choice," Quantitative Marketing and Economics (QME), Springer, vol. 3(3), pages 207-247, September.
    17. Inseong Song & Pradeep Chintagunta, 2003. "A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category," Quantitative Marketing and Economics (QME), Springer, vol. 1(4), pages 371-407, December.
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