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Econometrics of auctions by least squares

Author

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  • Leonardo Rezende

    (PUC-Rio, Rio de Janeiro, Brazil; and University of Illinois at Urbana-Champaign, Illinois, USA)

Abstract
I investigate using the method of ordinary least squares (OLS) on auction data. I find that for parameterizations of the valuation distribution that are common in empirical practice, an adaptation of OLS provides unbiased estimators of structural parameters. Under symmetric independent private values, adapted OLS is a specialization of the method of moments strategy of Laffont, Ossard and Vuong (1995). In contrast to their estimator, here simulation is not required, leading to a computationally simpler procedure. The paper also discusses using estimation results for inference on the shape of the valuation distribution, and applicability outside the symmetric independent private values framework. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Leonardo Rezende, 2008. "Econometrics of auctions by least squares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(7), pages 925-948.
  • Handle: RePEc:jae:japmet:v:23:y:2008:i:7:p:925-948
    DOI: 10.1002/jae.1036
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    14. Philip A. Haile & Elie Tamer, 2003. "Inference with an Incomplete Model of English Auctions," Journal of Political Economy, University of Chicago Press, vol. 111(1), pages 1-51, February.
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    Cited by:

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    2. Sundström, David, 2014. "It’s All in the Interval - An imperfect measurements approach to estimate bidders’ primitives in auctions," Umeå Economic Studies 899, Umeå University, Department of Economics, revised 17 Jun 2016.
    3. Sameer Mehta & Milind Dawande & Ganesh Janakiraman & Vijay Mookerjee, 2022. "An Approximation Scheme for Data Monetization," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2412-2428, June.
    4. David Davis, 2014. "Buyer Alliances as Countervailing Power in WIC Infant-Formula Auctions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 45(2), pages 121-138, September.
    5. Gimenes, Nathalie & Guerre, Emmanuel, 2022. "Quantile regression methods for first-price auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 224-247.
    6. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    7. Nathalie Gimenes, 2014. "Econometrics of Ascending Auctions by Quantile Regression," Working Papers, Department of Economics 2014_25, University of São Paulo (FEA-USP).
    8. Ferona, Angeliki & Tsionas, Efthymios G., 2012. "Measurement of excess bidding in auctions," Economics Letters, Elsevier, vol. 116(3), pages 377-380.
    9. Luis Mario García Lafuente & Asunción Mochón Sáez, 2022. "Competition effects in EU external aid supply tenders funded with the Pre-accession and Neighbourhood instruments," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 461-484, May.
    10. Ilke Onur & Bedri Kamil Onur Tas, 2019. "Optimal bidder participation in public procurement auctions," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(3), pages 595-617, June.
    11. Sundström, David, 2016. "The Competition Effect in a Public Procurement Model: An error-in-variables approach," Umeå Economic Studies 920, Umeå University, Department of Economics, revised 17 Jun 2016.
    12. Sundström, David, 2016. "On Specification and Inference in the Econometrics of Public Procurement," Umeå Economic Studies 931, Umeå University, Department of Economics.
    13. repec:fgv:epgrbe:v:66:n:4:a:2 is not listed on IDEAS
    14. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    15. Moura, Rodrigo Leandro & Canêdo-Pinheiro, Maurício & Daitx, Fernando, 2012. "Determinantes do lance vencedor em leilões de petróleo e gás: Avaliando o caso brasileiro," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(4), December.
    16. Barbosa, Klênio & Fiuza, Eduardo Pedral Sampaio, 2012. "Demand aggregation and credit risk effects in pooled procurement: evidence from the Brazilian public purchases of pharmaceuticals and medical supplies," Textos para discussão 299, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    17. Atsushi Iimi, 2013. "Testing Low-Balling Strategy in Rural Road Procurement," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 43(3), pages 243-261, November.

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