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Testing For Affiliation In First-Price Auctions Using Entry Behavior

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  • Tong Li
  • Bingyu Zhang

Abstract

In this article, we show that affiliation among potential bidders' private information (either private signals or entry costs) leads to affiliation among their entry decisions. We propose a test for affiliation among potential bidders' private information based on the implication of affiliation on the entry behavior, which is general and widely applicable to various scenarios. The test is implemented using the simulation based method. We then apply our method to timber sales in the Oregon Department of Forestry and find a small but strongly significant level of affiliation among all timber companies. Copyright (2010) by the Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

Suggested Citation

  • Tong Li & Bingyu Zhang, 2010. "Testing For Affiliation In First-Price Auctions Using Entry Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(3), pages 837-850, August.
  • Handle: RePEc:ier:iecrev:v:51:y:2010:i:3:p:837-850
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    Citations

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    Cited by:

    1. 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.
    2. Matthew Gentry & Tong Li & Jingfeng Lu, 2015. "Identification and estimation in first-price auctions with risk-averse bidders and selective entry," CeMMAP working papers 16/15, Institute for Fiscal Studies.
    3. Li, Tong & Zheng, Xiaoyong, 2012. "Information acquisition and/or bid preparation: A structural analysis of entry and bidding in timber sale auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 29-46.
    4. Ari Hyytinen & Sofia Lundberg & Otto Toivanen, 2018. "Design of public procurement auctions: evidence from cleaning contracts," RAND Journal of Economics, RAND Corporation, vol. 49(2), pages 398-426, June.
    5. Nianqing Liu & Yao Luo, 2017. "A Nonparametric Test For Comparing Valuation Distributions In First‐Price Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(3), pages 857-888, August.
    6. Xiaohong Chen & Matthew Gentry & Tong Li & Jingfeng Lu, 2020. "Identification and Inference in First-Price Auctions with Risk Averse Bidders and Selective Entry," Cowles Foundation Discussion Papers 2257, Cowles Foundation for Research in Economics, Yale University.
    7. Luciano De Castro, 2010. "Affiliation, Equilibrium Existence and Revenue Ranking of Auctions," Discussion Papers 1530, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    8. Holzer, Jorge & McConnell, Kenneth, 2023. "Extraction rights allocation with liquidity constraints," Resource and Energy Economics, Elsevier, vol. 71(C).
    9. Tong Li & Jingfeng Lu & Li Zhao, 2015. "Auctions with selective entry and risk averse bidders: theory and evidence," RAND Journal of Economics, RAND Corporation, vol. 46(3), pages 524-545, September.
    10. Holzer, Jorge & DePiper, Geret & Lipton, Douglas, 2017. "Buybacks with costly participation," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 130-145.
    11. Ma, Jun & Marmer, Vadim & Shneyerov, Artyom, 2019. "Inference for first-price auctions with Guerre, Perrigne, and Vuong’s estimator," Journal of Econometrics, Elsevier, vol. 211(2), pages 507-538.
    12. Committee, Nobel Prize, 2020. "Improvements to auction theory and inventions of new auction formats," Nobel Prize in Economics documents 2020-2, Nobel Prize Committee.
    13. Matthew Gentry & Tong Li & Jingfeng Lu, 2015. "Identification and estimation in first-price auctions with risk-averse bidders and selective entry," CeMMAP working papers CWP16/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

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