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Research Note—A Comparison of Within-Household Price Sensitivity Across Online and Offline Channels

Author

Listed:
  • Junhong Chu

    (NUS Business School, National University of Singapore, Singapore 117592)

  • Pradeep Chintagunta

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

  • Javier Cebollada

    (Department of Management, Public University of Navarre, 31006 Pamplona, Spain)

Abstract

We use a unique data set to estimate the price sensitivities of households in online and offline shopping channels when the same households shop across channels. We observe households that shop interchangeably at the online and the offline stores in the same grocery chain and investigate their purchase behavior in specific product categories. Although nearly 90% of households in our sample shop both at online and offline stores, we find that, across 12 vastly different product categories, these households exhibit lower price sensitivities when they shop online than when they shop offline. Our analysis accounts for observed and unobserved household heterogeneity as well as price endogeneity. The results hold for large basket-share categories and small basket-share categories, for consumer packaged goods and nonpackaged goods, for categories that are more likely to be purchased online because of their bulkiness or heaviness, and for categories that are more likely to be purchased offline because of their “sensory” nature. Households' price sensitivities are also closely related to demographics and inversely related to how far the households are located from the offline stores. Reasons for the lower price sensitivities in the online medium are discussed.

Suggested Citation

  • Junhong Chu & Pradeep Chintagunta & Javier Cebollada, 2008. "Research Note—A Comparison of Within-Household Price Sensitivity Across Online and Offline Channels," Marketing Science, INFORMS, vol. 27(2), pages 283-299, 03-04.
    • Handle: RePEc:inm:ormksc:v:27:y:2008:i:2:p:283-299
    DOI: 10.1287/mksc.1070.0288
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