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Shrouded attributes and information suppression: Evidence from field experiments

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  • Tanjim Hossain
  • John Morgan

Abstract

We use field and natural experiments in online auctions to study the revenue effect of varying the level and disclosure of shipping charges. Our main findings are (1) disclosure affects revenues-for low shipping charges, a seller is better off disclosing; and (2) increasing shipping charges boosts revenues when these charges are hidden. These results are not explained by changes in the number of bidders.

Suggested Citation

  • Tanjim Hossain & John Morgan, 2006. "Shrouded attributes and information suppression: Evidence from field experiments," Natural Field Experiments 00336, The Field Experiments Website.
    • Handle: RePEc:feb:natura:00336
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    References listed on IDEAS

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    1. Glenn Ellison, 2005. "A Model of Add-On Pricing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 585-637.
    2. Jeffrey C. Ely & Tanjim Hossain, 2009. "Sniping and Squatting in Auction Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 1(2), pages 68-94, August.
    3. Miao, Chun-Hui, 2010. "Consumer myopia, standardization and aftermarket monopolization," European Economic Review, Elsevier, vol. 54(7), pages 931-946, October.
    4. Xavier Gabaix & David Laibson, 2018. "Shrouded attributes, consumer myopia and information suppression in competitive markets," Chapters, in: Victor J. Tremblay & Elizabeth Schroeder & Carol Horton Tremblay (ed.), Handbook of Behavioral Industrial Organization, chapter 3, pages 40-74, Edward Elgar Publishing.
    5. repec:bla:jindec:v:49:y:2001:i:4:p:541-58 is not listed on IDEAS
    6. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    7. Hossain Tanjim & Morgan John, 2006. "...Plus Shipping and Handling: Revenue (Non) Equivalence in Field Experiments on eBay," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(2), pages 1-30, January.
    8. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Vincze, János & Koltay, Gábor, 2009. "Fogyasztói döntések a viselkedési közgazdaságtan szemszögéből [Consumer decisions from the angle of behavioural economics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 495-525.
    2. Xavier Gabaix & David Laibson, 2018. "Shrouded attributes, consumer myopia and information suppression in competitive markets," Chapters, in: Victor J. Tremblay & Elizabeth Schroeder & Carol Horton Tremblay (ed.), Handbook of Behavioral Industrial Organization, chapter 3, pages 40-74, Edward Elgar Publishing.
    3. Ernst Fehr & Keyu Wu, 2021. "Obfuscation in competitive markets," ECON - Working Papers 391, Department of Economics - University of Zurich, revised Feb 2023.
    4. Scharf, Kimberley & Smith, Sarah, 2010. "Rational Inattention to Subsidies for Charitable Contributions," CEPR Discussion Papers 7760, C.E.P.R. Discussion Papers.
    5. Schmöller, Arno, 2010. "Bidding Behavior, Seller Strategies, and the Utilization of Information in Auctions for Complex Goods," Munich Dissertations in Economics 11175, University of Munich, Department of Economics.
    6. Zhuangai Li & Xia Cao, 2021. "Effectiveness of China’s Labeling and Incentive Programs for Household Energy Conservation and Policy Implications," Sustainability, MDPI, vol. 13(4), pages 1-17, February.

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