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Measuring the Effects of Bid-Rigging on Prices with Binary Misclassification

Author

Listed:
  • Seoyun Hong

    (Boston University)

  • Chang Sik Kim

    (Sungkyunkwan University)

  • Hyunchul Kim

    (Sungkyunkwan University)

Abstract

The binary indicator of collusion is the key ingredient in estimating overcharges from bid-rigging with a regression-based approach. We develop a method for examining the effects of misclassification error in the indicator of bid-rigging status on estimates of damages from collusion. We derive partial identification of the regression model of winning bids in public procurement auctions and provide informative bounds on the price effects of bid-rigging. We find that the bounds are tight when placing a plausible restriction on the extent of measurement errors. Our findings show that relaxing the nondifferential assumption about misclassification errors leads to wider bounds.

Suggested Citation

  • Seoyun Hong & Chang Sik Kim & Hyunchul Kim, 2022. "Measuring the Effects of Bid-Rigging on Prices with Binary Misclassification," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(3), pages 319-339, November.
  • Handle: RePEc:kap:revind:v:61:y:2022:i:3:d:10.1007_s11151-022-09876-9
    DOI: 10.1007/s11151-022-09876-9
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    References listed on IDEAS

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    1. Aigner, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," Journal of Econometrics, Elsevier, vol. 1(1), pages 49-59, March.
    2. Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
    3. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
    4. Hu, Yingyao, 2006. "Bounding parameters in a linear regression model with a mismeasured regressor using additional information," Journal of Econometrics, Elsevier, vol. 133(1), pages 51-70, July.
    5. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    6. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
    7. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    8. Robert H. Porter & J. Douglas Zona, 1999. "Ohio School Milk Markets: An Analysis of Bidding," RAND Journal of Economics, The RAND Corporation, vol. 30(2), pages 263-288, Summer.
    9. Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2009. "Nonparametric Identification of Risk Aversion in First-Price Auctions Under Exclusion Restrictions," Econometrica, Econometric Society, vol. 77(4), pages 1193-1227, July.
    10. Bekker, P. & Kapteyn, A.J. & Wansbeek, T.J., 1984. "Consistent sets of estimates for regressions with correlated or uncorrelated measurement errors in arbitrary subsets of all variables," Other publications TiSEM 88ecadd7-b010-4aa9-9d2f-6, Tilburg University, School of Economics and Management.
    11. Doose, Anna Maria, 2013. "Methods for calculating cartel damages: A survey," Ilmenau Economics Discussion Papers 83, Ilmenau University of Technology, Institute of Economics.
    12. Philip A. Haile & Han Hong & Matthew Shum, 2003. "Nonparametric Tests for Common Values in First-Price Sealed-Bid Auctions," Cowles Foundation Discussion Papers 1445, Cowles Foundation for Research in Economics, Yale University.
    13. Card, David, 1996. "The Effect of Unions on the Structure of Wages: A Longitudinal Analysis," Econometrica, Econometric Society, vol. 64(4), pages 957-979, July.
    14. Bekker, Paul & Kapteyn, Arie & Wansbeek, Tom, 1987. "Consistent Sets of Estimates for Regressions with Correlated or Uncorrelated Measurement Errors in Arbitrary Subsets of All Variables," Econometrica, Econometric Society, vol. 55(5), pages 1223-1230, September.
    15. Elena Krasnokutskaya, 2011. "Identification and Estimation of Auction Models with Unobserved Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 293-327.
    16. Patrick Bajari & Lixin Ye, 2003. "Deciding Between Competition and Collusion," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 971-989, November.
    17. Matt Shum & Phil Haile & Han Hong, 2003. "Nonparametric Tests for Common Values in First-Price Auctions," Economics Working Paper Archive 501, The Johns Hopkins University,Department of Economics.
    18. Porter, Robert H & Zona, J Douglas, 1993. "Detection of Bid Rigging in Procurement Auctions," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 518-538, June.
    19. Krasker, William S & Pratt, John W, 1986. "Bounding the Effects of Proxy Variables on Regression Coefficients," Econometrica, Econometric Society, vol. 54(3), pages 641-655, May.
    20. In Lee & Kyungdong Hahn, 2002. "Bid-Rigging in Auctions for Korean Public-Works Contracts and Potential Damage," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 21(1), pages 73-88, August.
    21. Froeb, Luke M. & Koyak, Robert A. & Werden, Gregory J., 1993. "What is the effect of bid-rigging on prices?," Economics Letters, Elsevier, vol. 42(4), pages 419-423.
    22. Erickson, Timothy, 1993. "Restricting Regression Slopes in the Errors-in-Variables Model by Bounding the Error Correlation," Econometrica, Econometric Society, vol. 61(4), pages 959-969, July.
    23. Martin Pesendorfer, 2000. "A Study of Collusion in First-Price Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 381-411.
    24. van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.
    25. Erich Battistin & Barbara Sianesi, 2011. "Misclassified Treatment Status and Treatment Effects: An Application to Returns to Education in the United Kingdom," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 495-509, May.
    26. AIGNER, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," LIDAM Reprints CORE 130, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    27. Aprajit Mahajan, 2006. "Identification and Estimation of Regression Models with Misclassification," Econometrica, Econometric Society, vol. 74(3), pages 631-665, May.
    28. Bekker, P. & Kapteyn, A.J. & Wansbeek, T.J., 1985. "Consistent sets of estimates for regressions with correlated or uncorrelated measurement errors in arbitrary subsets of all variables," Other publications TiSEM 075267e3-fe77-45b1-81e7-2, Tilburg University, School of Economics and Management.
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    More about this item

    Keywords

    Bid-rigging; Overcharges; Binary regressors; Misclassification error; Partial identification;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices

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