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Fine-Tuning Willingness-To-Pay Estimates in Second Price Auctions

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  • Kassas, Bachir
  • Palma, Marco A.
  • Anderson, David P.

Abstract

It is well documented that people overbid in second price auctions (SPAs). Yet, this fact is conveniently ignored when eliciting willingness-to-pay (WTP) for market goods. We propose a simple design that not only tests the external validity of SPA bids, but also suggests a more accurate method of eliciting WTP in SPAs. Following the SPA, participants were offered a randomly chosen price, from the range of retail prices in actual markets, at which they can purchase any amount of the good in an onsite secondary market. The design links overbidding and underbidding behavior to violations of the weak axiom of revealed preferences (WARP). We find robust evidence that the dominance of overbidding over underbidding in SPAs leads to an upward bias in the WTP estimates. While this can compromise market good valuations by inflating the perceived value of products, our design enables utilization of Kotlarski’s identity to recover the distribution of the unobserved true valuations.
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  • Kassas, Bachir & Palma, Marco A. & Anderson, David P., 2017. "Fine-Tuning Willingness-To-Pay Estimates in Second Price Auctions," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258466, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea17:258466
    DOI: 10.22004/ag.econ.258466
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    1. Bartling, Björn & Netzer, Nick, 2016. "An externality-robust auction: Theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 97(C), pages 186-204.
    2. DavidJ. Cooper & Hanming Fang, 2008. "Understanding Overbidding In Second Price Auctions: An Experimental Study," Economic Journal, Royal Economic Society, vol. 118(532), pages 1572-1595, October.
    3. An, Yonghong & Hu, Yingyao, 2012. "Well-posedness of measurement error models for self-reported data," Journal of Econometrics, Elsevier, vol. 168(2), pages 259-269.
    4. Kagel, John H & Levin, Dan & Harstad, Ronald M, 1995. "Comparative Static Effects of Number of Bidders and Public Information on Behavior in Second-Price Common Value Auctions," International Journal of Game Theory, Springer;Game Theory Society, vol. 24(3), pages 293-319.
    5. Joel L. Horowitz & Marianthi Markatou, 1996. "Semiparametric Estimation of Regression Models for Panel Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(1), pages 145-168.
    6. Morgan John & Steiglitz Ken & Reis George, 2003. "The Spite Motive and Equilibrium Behavior in Auctions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 2(1), pages 1-25, April.
    7. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    8. Andreoni, James & Che, Yeon-Koo & Kim, Jinwoo, 2007. "Asymmetric information about rivals' types in standard auctions: An experiment," Games and Economic Behavior, Elsevier, vol. 59(2), pages 240-259, May.
    9. Li, Tong & Vuong, Quang, 1998. "Nonparametric Estimation of the Measurement Error Model Using Multiple Indicators," Journal of Multivariate Analysis, Elsevier, vol. 65(2), pages 139-165, May.
    10. Rodney Garratt & Mark Walker & John Wooders, 2012. "Behavior in second-price auctions by highly experienced eBay buyers and sellers," Experimental Economics, Springer;Economic Science Association, vol. 15(1), pages 44-57, March.
    11. Krishna, Vijay, 2009. "Auction Theory," Elsevier Monographs, Elsevier, edition 2, number 9780123745071.
    12. Naoko Nishimura & Timothy N. Cason & Tatsuyoshi Saijo & Yoshikazu Ikeda, 2011. "Spite and Reciprocity in Auctions," Games, MDPI, vol. 2(3), pages 1-47, September.
    13. Kim, Jinwoo & Che, Yeon-Koo, 2004. "Asymmetric information about rivals' types in standard auctions," Games and Economic Behavior, Elsevier, vol. 46(2), pages 383-397, February.
    14. Kagel, John H & Harstad, Ronald M & Levin, Dan, 1987. "Information Impact and Allocation Rules in Auctions with Affiliated Private Values: A Laboratory Study," Econometrica, Econometric Society, vol. 55(6), pages 1275-1304, November.
    15. Kagel, John H & Levin, Dan, 1993. "Independent Private Value Auctions: Bidder Behaviour in First-, Second- and Third-Price Auctions with Varying Numbers of Bidders," Economic Journal, Royal Economic Society, vol. 103(419), pages 868-879, July.
    16. Li, Tong, 2002. "Robust and consistent estimation of nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 110(1), pages 1-26, September.
    17. Cox, James C & Smith, Vernon L & Walker, James M, 1992. "Theory and Misbehavior of First-Price Auctions: Comment," American Economic Review, American Economic Association, vol. 82(5), pages 1392-1412, December.
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    Cited by:

    1. Zhai, Qianqian & Kassas, Bachir & Zhao, Shuoli & Chen, Lijun & Chen, Chao, 2020. "Investigating Preference Inconsistencies in Incentive Structures that Account for House Money Effects," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304584, Agricultural and Applied Economics Association.

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    Keywords

    Institutional and Behavioral Economics; Research Methods/Statistical Methods; Risk and Uncertainty;
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