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Instrumental variables estimation of a simple dynamic model of bidding behavior in private value auctions

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  • John C. Ham

    (NYU Abu Dhabi, Abu Dhabi United Arab Emirates NYU Wagner School
    IFAU, Uppsala, Sweden IRP, Madison, USA IZA)

  • Steven F. Lehrer

    (Queens University, Canada NBER, Cambridge)

Abstract

We provide the first, in experimental economics, consistent estimates of a dynamic learning model with a continuous outcome. The econometric approach we propose can be used in many experimental studies including auctions, bargaining with transfers, and gift exchange experiments. We focus on affiliated private value auctions, where subjects are generally assumed to converge to the rule-of-thumb bidding, but our general approach is applicable to many other settings. Our IV estimates suggest that subjects become significantly less aggressive over time; specifically, they decrease their bids in proportion to the previous period’s signal minus bid. However, the inconsistent OLS and FE estimators imply that subjects become significantly more aggressive over time—they raise their bids in proportion to the previous period’s signal minus bid. Our instruments are randomly generated by the experiment, and pass popular weak instrument tests.

Suggested Citation

  • John C. Ham & Steven F. Lehrer, 2020. "Instrumental variables estimation of a simple dynamic model of bidding behavior in private value auctions," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 139-155, December.
    • Handle: RePEc:spr:jesaex:v:6:y:2020:i:2:d:10.1007_s40881-020-00086-1
    DOI: 10.1007/s40881-020-00086-1
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    1. David Gill & Victoria Prowse, 2014. "Gender differences and dynamics in competition: The role of luck," Quantitative Economics, Econometric Society, vol. 5, pages 351-376, July.
    2. Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, May.
    3. Ben Gillen & Erik Snowberg & Leeat Yariv, 2019. "Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1826-1863.
    4. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    5. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, October.
    6. Marco Casari & John C. Ham & John H. Kagel, 2007. "Selection Bias, Demographic Effects, and Ability Effects in Common Value Auction Experiments," American Economic Review, American Economic Association, vol. 97(4), pages 1278-1304, September.
    7. John C. Ham & John H. Kagel & Steven F. Lehrer, 2000. "Randomization, Endogeneity and Laboratory Experiments," Econometric Society World Congress 2000 Contributed Papers 1524, Econometric Society.
    8. Ham, John C & LaLonde, Robert J, 1996. "The Effect of Sample Selection and Initial Conditions in Duration Models: Evidence from Experimental Data on Training," Econometrica, Econometric Society, vol. 64(1), pages 175-205, January.
    9. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
    10. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    11. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    12. Pablo Brañas-Garza & Marisa Bucheli & Teresa Garcia-Muñoz, 2011. "Dynamic panel data: A useful technique in experiments," ThE Papers 10/22, Department of Economic Theory and Economic History of the University of Granada..
    13. Costa-Gomes, Miguel A. & Huck, Steffen & Weizsäcker, Georg, 2014. "Beliefs and actions in the trust game: Creating instrumental variables to estimate the causal effect," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 88, pages 298-309.
    14. José Luis Montiel Olea & Carolin Pflueger, 2013. "A Robust Test for Weak Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 358-369, July.
    15. Carolin E. Pflueger & Su Wang, 2015. "A robust test for weak instruments in Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 216-225, March.
    16. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    17. Armantier, Olivier, 2004. "Does observation influence learning?," Games and Economic Behavior, Elsevier, vol. 46(2), pages 221-239, February.
    18. Fréchette, Guillaume R., 2009. "Learning in a multilateral bargaining experiment," Journal of Econometrics, Elsevier, vol. 153(2), pages 183-195, December.
    19. John H. Kagel & Jean-Francois Richard, 2001. "Super-Experienced Bidders In First-Price Common-Value Auctions: Rules Of Thumb, Nash Equilibrium Bidding, And The Winner'S Curse," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 408-419, August.
    20. Garvin, Susan & Kagel, John H., 1994. "Learning in common value auctions: Some initial observations," Journal of Economic Behavior & Organization, Elsevier, vol. 25(3), pages 351-372, December.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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