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Inference in Auctions with Many Bidders Using Transaction Prices

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  • Federico A. Bugni
  • Yulong Wang

Abstract

This paper studies inference in first- and second-price sealed-bid auctions with many bidders, using an asymptotic framework where the number of bidders increases while the number of auctions remains fixed. Relevant applications include online, treasury, spectrum, and art auctions. Our approach enables asymptotically exact inference on key features such as the winner's expected utility, the seller's expected revenue, and the tail of the valuation distribution using only transaction price data. Our simulations demonstrate the accuracy of the methods in finite samples. We apply our methods to Hong Kong vehicle license auctions, focusing on high-priced, single-letter plates.

Suggested Citation

  • Federico A. Bugni & Yulong Wang, 2023. "Inference in Auctions with Many Bidders Using Transaction Prices," Papers 2311.09972, arXiv.org, revised Sep 2024.
  • Handle: RePEc:arx:papers:2311.09972
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    References listed on IDEAS

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    1. Emmanuel Guerre & Yao Luo, 2019. "Nonparametric Identification of First-Price Auction with Unobserved Competition: A Density Discontinuity Framework," Papers 1908.05476, arXiv.org, revised Dec 2024.
    2. Konrad Menzel & Paolo Morganti, 2013. "Large sample properties for estimators based on the order statistics approach in auctions," Quantitative Economics, Econometric Society, vol. 4(2), pages 329-375, July.
    3. Bajari, Patrick & Hortacsu, Ali, 2003. "The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 329-355, Summer.
    4. Tatiana Komarova, 2013. "A new approach to identifying generalized competing risks models with application to second‐price auctions," Quantitative Economics, Econometric Society, vol. 4(2), pages 269-328, July.
    5. Komarova, Tatiana, 2013. "A new approach to identifying generalized competing risks models with application to second-price auctions," LSE Research Online Documents on Economics 50245, London School of Economics and Political Science, LSE Library.
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