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Purchase deadline as a moderator of the effects of price uncertainty on search duration

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  • Lemieux, James
  • Peterson, Robert A.

Abstract

A longstanding theoretical tenet in the economic psychology literature is that consumers respond to greater price uncertainty by increasing search. The generality of this tenet was investigated in the context of a moderating variable, purchase deadline. It was hypothesized that the effect of increased price uncertainty, as reflected by both cross-sectional price variability and longitudinal price variability, was moderated by temporal proximity to a purchase deadline. The hypothesis was tested by analyzing purchase data from a sample of consumers with known purchase deadlines searching for rental trucks. The results indicated that search increased in response to greater price uncertainty for distant deadlines but decreased in response to greater price uncertainty for proximal deadlines.

Suggested Citation

  • Lemieux, James & Peterson, Robert A., 2011. "Purchase deadline as a moderator of the effects of price uncertainty on search duration," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 33-44, February.
  • Handle: RePEc:eee:joepsy:v:32:y:2011:i:1:p:33-44
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    1. Cassie Mogilner & Jennifer L. Aaker & Ginger L. Pennington, 2008. "Time Will Tell: The Distant Appeal of Promotion and Imminent Appeal of Prevention," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(5), pages 670-681, August.
    2. Brian T. Ratchford, 1982. "Cost-Benefit Models for Explaining Consumer Choice and Information Seeking Behavior," Management Science, INFORMS, vol. 28(2), pages 197-212, February.
    3. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey: Part I," Economic Inquiry, Western Economic Association International, vol. 14(2), pages 155-189, June.
    4. Goldman, Arieh & Johansson, J K, 1978. "Determinants of Search for Lower Prices: An Empirical Assessment of the Economics of Information Theory," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(3), pages 176-186, December.
    5. Füsun F. Gönül & Frenkel Ter Hofstede, 2006. "How to Compute Optimal Catalog Mailing Decisions," Marketing Science, INFORMS, vol. 25(1), pages 65-74, 01-02.
    6. Wolpin, Kenneth I, 1987. "Estimating a Structural Search Model: The Transition from School to Work," Econometrica, Econometric Society, vol. 55(4), pages 801-817, July.
    7. Loewenstein, George, 1987. "Anticipation and the Valuation of Delayed Consumption," Economic Journal, Royal Economic Society, vol. 97(387), pages 666-684, September.
    8. Urbany, Joel E, 1986. "An Experimental Examination of the Economics of Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 257-271, September.
    9. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    10. Kujala, Jouni T. & Johnson, Michael D., 1993. "Price knowledge and search behavior for habitual, low involvement food purchases," Journal of Economic Psychology, Elsevier, vol. 14(2), pages 249-265, June.
    11. Michael Rothschild, 1974. "Searching for the Lowest Price When the Distribution of Prices Is Unknown: A Summary," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 1, pages 293-294, National Bureau of Economic Research, Inc.
    12. Smith, Gerald E. & Venkatraman, Meera P. & Dholakia, Ruby Roy, 1999. "Diagnosing the search cost effect: Waiting time and the moderating impact of prior category knowledge," Journal of Economic Psychology, Elsevier, vol. 20(3), pages 285-314, June.
    13. Simonson, Itamar, 1992. "The Influence of Anticipating Regret and Responsibility on Purchase Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 105-118, June.
    14. Bucklin, Louis P, 1969. "Consumer Search, Role Enactment, and Market Efficiency," The Journal of Business, University of Chicago Press, vol. 42(4), pages 416-438, October.
    15. Rothschild, Michael, 1974. "Searching for the Lowest Price When the Distribution of Prices Is Unknown," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 689-711, July/Aug..
    16. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    17. Nitin Mehta & Surendra Rajiv & Kannan Srinivasan, 2003. "Price Uncertainty and Consumer Search: A Structural Model of Consideration Set Formation," Marketing Science, INFORMS, vol. 22(1), pages 58-84, June.
    18. Ratchford, Brian T, 2001. "The Economics of Consumer Knowledge," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(4), pages 397-411, March.
    19. Newman, Joseph W & Lockeman, Bradley D, 1975. "Measuring Prepurchase Information Seeking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 216-222, December.
    20. Loibl, Cäzilia & Hira, Tahira K., 2009. "Investor information search," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 24-41, February.
    21. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    22. Moorthy, Sridhar & Ratchford, Brian T & Talukdar, Debabrata, 1997. "Consumer Information Search Revisited: Theory and Empirical Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(4), pages 263-277, March.
    23. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey," Economic Inquiry, Western Economic Association International, vol. 14(3), pages 347-368, September.
    24. Jacobson, Robert & Obermiller, Carl, 1990. "The Formation of Expected Future Price: A Reference Price for Forward-Looking Consumers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 420-432, March.
    25. Shani, Yaniv & Tykocinski, Orit E. & Zeelenberg, Marcel, 2008. "When ignorance is not bliss: How feelings of discomfort promote the search for negative information," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 643-653, November.
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    19. Wei‐Fong Pan & James Reade & Shixuan Wang, 2022. "Measuring US regional economic uncertainty," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 1149-1178, September.
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