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Sequencing strategies in large, competitive, ascending price automobile auctions: An experimental examination

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  • Grether, David M.
  • Plott, Charles R.

Abstract

This paper reports on a large-scale field experiment testing strategies available to a seller participating in simultaneous competitive sequential ascending price automobile auctions. Every other week, the seller offered approximately 100 vehicles for sale in an auction environment in which several competing sellers offered on the order of 3000 vehicles. The experiment tested various sequences in which the seller could offer the vehicles, such as high values first or low values first. Surprisingly, and contrary to intuition drawn from the theory of single item and single seller auctions, the worst performing sequence from those tested is for the seller to order vehicles from highest to lowest values. The best sequence is to group the vehicles by type and offer the low valued vehicles first and then move to offer the higher valued vehicles.

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Bibliographic Info

Paper provided by California Institute of Technology, Division of the Humanities and Social Sciences in its series Working Papers with number 1253.

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Length: 28 pages
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Handle: RePEc:clt:sswopa:1253

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Postal: Working Paper Assistant, Division of the Humanities and Social Sciences, 228-77, Caltech, Pasadena CA 91125
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Postal: Working Paper Assistant, Division of the Humanities and Social Sciences, 228-77, Caltech, Pasadena CA 91125
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References

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  1. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
  2. Archishman Chakraborty & Nandini Gupta & Rick Harbaugh, 2000. "Best Foot Forward or Best for Last in a Sequential Auction?," Claremont Colleges Working Papers 2000-43, Claremont Colleges.
  3. Plott, Charles R. & Salmon, Timothy, 2002. "The Simultaneous, Ascending Auction: Dynamics of Price Adjustment in Experiments and in the U.K. 3G Spectrum Auction," Working Papers 1155, California Institute of Technology, Division of the Humanities and Social Sciences.
  4. Goeree, Jacob K. & Offerman, Theo & Schram, Arthur, 2006. "Using first-price auctions to sell heterogeneous licenses," International Journal of Industrial Organization, Elsevier, vol. 24(3), pages 555-581, May.
  5. Gerard J. van den Berg & Jan C. van Ours & Menno P. Pradhan, 2001. "The Declining Price Anomaly in Dutch Dutch Rose Auctions," American Economic Review, American Economic Association, vol. 91(4), pages 1055-1062, September.
  6. Milgrom,Paul, 2004. "Putting Auction Theory to Work," Cambridge Books, Cambridge University Press, number 9780521551847, December.
  7. Raviv, Yaron, 2006. "New Evidence on Price Anomalies in Sequential Auctions: Used Cars in New Jersey," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 301-312, July.
  8. Kathryn Graddy & Orley Ashenfelter, 2002. "Auctions and the Price of Art," Economics Series Working Papers 131, University of Oxford, Department of Economics.
  9. Genesove, David, 1995. "Search at Wholesale Auto Auctions," The Quarterly Journal of Economics, MIT Press, vol. 110(1), pages 23-49, February.
  10. McAfee, R Preston & McMillan, John, 1987. "Auctions and Bidding," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 699-738, June.
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Cited by:
  1. Anthony M. Kwasnica & Katerina Sherstyuk, 2013. "Multi-Unit Auctions," Working Papers 201301, University of Hawaii at Manoa, Department of Economics.
  2. David Grether & David Porter & Matthew Shum, 2011. "Intimidation or Impatience? Jump Bidding in On-line Ascending Automobile Auctions," Working Papers 11-07, Chapman University, Economic Science Institute.
  3. Verwer, S. & Zhang, Y., 2011. "Revenue Prediction in Budget-constrained Sequential Auctions with Complementarities," ERIM Report Series Research in Management ERS-2011-020-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.

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