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Common Values, Unobserved Heterogeneity, and Endogenous Entry in U.S. Offshore Oil Lease Auction

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  • Giovanni Compiani
  • Philip Haile
  • Marcelo Sant'Anna

Abstract

An oil lease auction is the classic example motivating a common values model. However, formal testing for common values has been hindered by unobserved auction-level heterogeneity, which is likely to affect both participation in an auction and bidders’ willingness to pay. We develop and apply an empirical approach for first-price sealed bid auctions with affiliated values, unobserved heterogeneity, and endogenous bidder entry. The approach also accommodates spatial dependence and sample selection. Following Haile, Hong and Shum (2003), we specify a reduced form for bidder entry outcomes and rely on an instrument for entry. However, we relax their control function requirements and demonstrate that our specification is generated by a fully specified game motivated by our application. We show that important features of the model are nonparametrically identified and propose a semiparametric estimation approach designed to scale well to the moderate sample sizes typically encountered in practice. Our empirical results show that common values, affiliated private information, and unobserved heterogeneity—three distinct phenomena with different implications for policy and empirical work—are all present and important in U.S. offshore oil and gas lease auctions. We find that ignoring unobserved heterogeneity in the empirical model obscures the presence of common values. We also examine the interaction between affiliation, the winner’s curse, and the number of bidders in determining the aggressiveness of bidding and seller revenue

Suggested Citation

  • Giovanni Compiani & Philip Haile & Marcelo Sant'Anna, 2018. "Common Values, Unobserved Heterogeneity, and Endogenous Entry in U.S. Offshore Oil Lease Auction," NBER Working Papers 24795, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24795
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    3. Rodrigo Carril & Andres Gonzalez-Lira & Michael S. Walker, 2022. "Competition under incomplete contracts and the design of procurement policies," Economics Working Papers 1824, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Philip A Haile & Yuichi Kitamura, 2019. "Unobserved heterogeneity in auctions," The Econometrics Journal, Royal Economic Society, vol. 22(1), pages 1-19.
    5. Grundl, Serafin & Zhu, Yu, 2024. "Two results on auctions with endogenous entry," Economics Letters, Elsevier, vol. 234(C).
    6. Pasha Andreyanov & El Hadi Caoui, 2022. "Secret reserve prices by uninformed sellers," Quantitative Economics, Econometric Society, vol. 13(3), pages 1203-1256, July.
    7. Gimenes, Nathalie & Guerre, Emmanuel, 2020. "Nonparametric identification of an interdependent value model with buyer covariates from first-price auction bids," Journal of Econometrics, Elsevier, vol. 219(1), pages 1-18.
    8. Janssen, Aljoscha, 2022. "Innovation Begets Innovation and Concentration: The Case of Upstream Oil & Gas in the North Sea," Working Paper Series 1431, Research Institute of Industrial Economics.
    9. Michele Fioretti & Alessandro Iaria & Aljoscha Janssen & Robert K Perrons & Clément Mazet-Sonilhac, 2022. "Innovation Begets Innovation and Concentration: the Case of Upstream Oil & Gas in the North Sea," SciencePo Working papers hal-03791971, HAL.
    10. Prest, Brian C. & Stock, James H., 2023. "Climate royalty surcharges," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
    11. Grundl, Serafin & Zhu, Yu, 2019. "Identification and estimation of risk aversion in first-price auctions with unobserved auction heterogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 363-378.
    12. Nathalie Gimenes & Emmanuel Guerre, 2019. "Nonparametric identification of an interdependent value model with buyer covariates from first-price auction bids," Papers 1910.10646, arXiv.org.
    13. Bryan K. Bollinger & Wesley R. Hartmann, 2020. "Information vs. Automation and Implications for Dynamic Pricing," Management Science, INFORMS, vol. 66(1), pages 290-314, January.
    14. Deininger, Klaus W. & Ali, Daniel Ayalew & Neyter, Roman, 2023. "Impacts of a mandatory shift to decentralized online auctions on revenue from public land leases in Ukraine," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 432-450.
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    16. Cristián Hernández & Daniel Quint & Christopher Turansick, 2020. "Estimation in English auctions with unobserved heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 868-904, September.

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