IDEAS home Printed from https://ideas.repec.org/p/hhs/umnees/0920.html
   My bibliography  Save this paper

The Competition Effect in a Public Procurement Model: An error-in-variables approach

Author

Listed:

Abstract

Auction theory suggests that as the number of bidders (competition) increases, the sizes of the participants’ bids decrease. An issue in the empirical literature on auctions is which measurement(s) of competition to use. Utilizing a dataset on public procurements containing measurements on both the actual and potential number of bidders I find that a workhorse model of public procurements is best fitted to data using only actual bidders as measurement for competition. Acknowledging that all measurements of competition may be erroneous, I propose an instrumental variable estimator that (given my data) brings about a competition effect bounded by those generated by specifications using the actual and potential number of bidders, respectively. Also, some asymptotic results are provided for non-linear least squares estimators obtained from a dependent variable transformation model.

Suggested Citation

  • 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.
    • Handle: RePEc:hhs:umnees:0920
    as

    Download full text from publisher

    File URL: http://www.usbe.umu.se/digitalAssets/182/182804_ues920.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2000. "Optimal Nonparametric Estimation of First-Price Auctions," Econometrica, Econometric Society, vol. 68(3), pages 525-574, May.
    2. Leonardo Rezende, 2008. "Econometrics of auctions by least squares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(7), pages 925-948.
    3. Véronique Flambard & Pierre Lasserre & Pierre Mohnen, 2007. "Snow removal auctions in Montreal: costs, informational rents, and procurement management," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(1), pages 245-277, February.
    4. J. Levin & L. Einav, 2012. "Empirical Industrial Organization: A Progress Report," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 1.
    5. Elena Krasnokutskaya & Katja Seim, 2011. "Bid Preference Programs and Participation in Highway Procurement Auctions," American Economic Review, American Economic Association, vol. 101(6), pages 2653-2686, October.
    6. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    7. Laffont, Jean-Jacques & Ossard, Herve & Vuong, Quang, 1995. "Econometrics of First-Price Auctions," Econometrica, Econometric Society, vol. 63(4), pages 953-980, July.
    8. Tong Li & Xiaoyong Zheng, 2009. "Entry and Competition Effects in First-Price Auctions: Theory and Evidence from Procurement Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1397-1429.
    9. Riley, John G & Samuelson, William F, 1981. "Optimal Auctions," American Economic Review, American Economic Association, vol. 71(3), pages 381-392, June.
    10. Sofia Lundberg & Per-Olov Marklund & Elon Strömbäck & David Sundström, 2015. "Using public procurement to implement environmental policy: an empirical analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 487-520, October.
    11. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-286, July.
    12. Henderson, Daniel J. & List, John A. & Millimet, Daniel L. & Parmeter, Christopher F. & Price, Michael K., 2012. "Empirical implementation of nonparametric first-price auction models," Journal of Econometrics, Elsevier, vol. 168(1), pages 17-28.
    13. Milgrom, Paul, 1989. "Auctions and Bidding: A Primer," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 3-22, Summer.
    14. McAfee, R Preston & McMillan, John, 1987. "Auctions and Bidding," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 699-738, June.
    15. Jason Abrevaya & Jerry A. Hausman, 2004. "Response error in a transformation model with an application to earnings-equation estimation *," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 366-388, December.
    16. Elodie Guerre & I. Perrigne & Q.H. Vuong, 2000. "Optimal nonparametric estimation of first-price auctions [[Estimation nonparamétrique optimale des enchères au premier prix]]," Post-Print hal-02697497, HAL.
    17. Artyom Shneyerov, 2006. "An empirical study of auction revenue rankings: the case of municipal bonds," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 1005-1022, December.
    18. Reiss, Peter C. & Wolak, Frank A., 2007. "Structural Econometric Modeling: Rationales and Examples from Industrial Organization," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 64, Elsevier.
    19. A. Zellner & N. S. Revankar, 1969. "Generalized Production Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(2), pages 241-250.
    20. Marion, Justin, 2007. "Are bid preferences benign? The effect of small business subsidies in highway procurement auctions," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1591-1624, August.
    21. Klemperer, Paul, 1999. " Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-86, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sundström, David, 2016. "A Comparison of Techniques to Evaluate Policies in Public Procurement," Umeå Economic Studies 928, Umeå University, Department of Economics, revised 17 Jun 2016.
    2. Xun Tang, 2008. "Bounds on Revenue Distributions in Counterfactual Auctions with Reserve Prices," PIER Working Paper Archive 08-042, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Daniel Garrett & Andrey Ordin & James W Roberts & Juan Carlos Suárez Serrato, 2023. "Tax Advantages and Imperfect Competition in Auctions for Municipal Bonds," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(2), pages 815-851.
    4. 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.
    5. Marleen Marra, 2019. "Pricing and Fees in Auction Platforms with Two-Sided Entry," Working Papers hal-03393068, HAL.
    6. repec:hal:spmain:info:hdl:2441/5kht5rc22p99sq5tol4efe4ssb is not listed on IDEAS
    7. repec:hal:wpspec:info:hdl:2441/5kht5rc22p99sq5tol4efe4ssb is not listed on IDEAS
    8. Nathalie Gimenes, 2014. "Econometrics of Ascending Auctions by Quantile Regression," Working Papers, Department of Economics 2014_25, University of São Paulo (FEA-USP).
    9. Emmanuel Guerre & Yao Luo, 2019. "Nonparametric Identification of First-Price Auction with Unobserved Competition: A Density Discontinuity Framework," Papers 1908.05476, arXiv.org, revised Jan 2022.
    10. 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.
    11. Lange, Andreas & List, John A. & Price, Michael K., 2011. "Auctions with resale when private values are uncertain: Evidence from the lab and field," International Journal of Industrial Organization, Elsevier, vol. 29(1), pages 54-64, January.
    12. Sundström, David, 2016. "On Specification and Inference in the Econometrics of Public Procurement," Umeå Economic Studies 931, Umeå University, Department of Economics.
    13. Rosa, Benjamin, 2016. "Subcontracting Requirements and the Cost of Government Procurement," MPRA Paper 77392, University Library of Munich, Germany.
    14. Véronique Flambard & Pierre Lasserre & Pierre Mohnen, 2007. "Snow removal auctions in Montreal: costs, informational rents, and procurement management," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(1), pages 245-277, February.
    15. Philip A Haile & Yuichi Kitamura, 2019. "Unobserved heterogeneity in auctions," The Econometrics Journal, Royal Economic Society, vol. 22(1), pages 1-19.
    16. Benjamin V. Rosa, 2019. "Resident Bid Preference, Affiliation, and Procurement Competition: Evidence from New Mexico," Journal of Industrial Economics, Wiley Blackwell, vol. 67(2), pages 161-208, June.
    17. Philippe Février & Raphaële Preget & Michael Visser, 2002. "Econometrics of Share Auctions," Working Papers 2002-09, Center for Research in Economics and Statistics.
    18. Nakabayashi, Jun, 2013. "Small business set-asides in procurement auctions: An empirical analysis," Journal of Public Economics, Elsevier, vol. 100(C), pages 28-44.
    19. Kashyap, Ravi, 2018. "Auction theory adaptations for real life applications," Research in Economics, Elsevier, vol. 72(4), pages 452-481.
    20. 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.
    21. Véronique Flambard & Pierre Lasserre & Pierre Mohnen, 2007. "Snow removal auctions in Montreal: costs, informational rents, and procurement management," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(1), pages 245-277, February.
    22. 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.

    More about this item

    Keywords

    dependent variable transformation model; instrumental variable; measurement error; non-linear least squares;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:umnees:0920. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: David Skog (email available below). General contact details of provider: https://edirc.repec.org/data/inumuse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.