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Estimating risk aversion from ascending and sealed-bid auctions: the case of timber auction data

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  • Jingfeng Lu

    (Department of Economics, National University of Singapore)

  • Isabelle Perrigne

    (Department of Economics, Pennsylvania State University, University Park, Pennsylvania, USA)

Abstract

Estimating bidders' risk aversion in auctions is a challenging problem because of identification issues. This paper takes advantage of bidding data from two auction designs to identify nonparametrically the bidders' utility function within a private value framework. In particular, ascending auction data allow one to recover the latent distribution of private values, while first-price sealed-bid auction data allow one to recover the bidders' utility function. This leads to a nonparametric estimator. An application to the US Forest Service timber auctions is proposed. Estimated utility functions display concavity, which can be partly captured by constant relative risk aversion. Copyright © 2008 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jae.1032
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 23 (2008)
Issue (Month): 7 ()
Pages: 871-896

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Handle: RePEc:jae:japmet:v:23:y:2008:i:7:p:871-896

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References

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  1. Athey,S. & Haile,P.A., 2000. "Identification of standard auction models," Working papers 13, Wisconsin Madison - Social Systems.
  2. Baldwin, Laura H & Marshall, Robert C & Richard, Jean-Francois, 1997. "Bidder Collusion at Forest Service Timber Sales," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 657-99, August.
  3. Sandra Campo & Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2003. "Semiparametric Estimation of First-price Auctions with Risk Averse Bidders," Working Papers 2003-09, Centre de Recherche en Economie et Statistique.
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  5. repec:att:wimass:9702 is not listed on IDEAS
  6. Peter Eso & Lucy White, 2001. "Precautionary Bidding in Auctions," Discussion Papers 1331, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  7. Susan Athey, 2005. "Comparing Open and Sealed Bid Auctions: Theory and Evidence from Timber Auctions," Theory workshop papers 658612000000000098, UCLA Department of Economics.
  8. Chaudhuri, Probal, 1991. "Global nonparametric estimation of conditional quantile functions and their derivatives," Journal of Multivariate Analysis, Elsevier, vol. 39(2), pages 246-269, November.
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Citations

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Cited by:
  1. Sokbae 'Simon' Lee & Kyungchul Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers CWP09/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  2. Xin An & Shulin Liu & Shuo Xu, 2011. "Piecewise Pseudo-Maximum Likelihood Estimation for Risk Aversion Case in First-Price Sealed-Bid Auction," Computational Economics, Society for Computational Economics, vol. 38(4), pages 439-463, November.
  3. Laurent Lamy, 2008. "The econometrics of auctions with asymmetric anonymous bidders," PSE Working Papers halshs-00586039, HAL.
  4. Hanming Fang & Xun Tang, 2013. "Inference of Bidders’ Risk Attitudes in Ascending Auctions with Endogenous Entry," NBER Working Papers 19435, National Bureau of Economic Research, Inc.
  5. Hanming Fang & Xun Tang, 2011. "Inference of Bidders’ Risk Attitudes in Ascending Auctions with Endogenous Entry, Second Version," PIER Working Paper Archive 12-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 17 Apr 2012.
  6. Fang, Hanming & Tang, Xun, 2014. "Inference of bidders’ risk attitudes in ascending auctions with endogenous entry," Journal of Econometrics, Elsevier, vol. 180(2), pages 198-216.
  7. Hanming Fang & Xun Tang, 2013. "Inference of Bidders’ Risk Attitudes in Ascending Auctions with Endogenous Entry," PIER Working Paper Archive 13-056, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

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