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Nonparametric identification of an interdependent value model with buyer covariates from first-price auction bids

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  • Gimenes, Nathalie
  • Guerre, Emmanuel

Abstract

This paper introduces a version of the interdependent value model of Milgrom and Weber (1982), where the signals are given by an index gathering signal shifters observed by the econometrician and private ones specific to each bidders. The model primitives are shown to be nonparametrically identified from first-price auction bids under a testable mild rank condition. Identification holds for all possible signal values. This allows to consider a wide range of counterfactuals where this is important, as expected revenue in second-price auction. An estimation procedure is briefly discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:econom:v:219:y:2020:i:1:p:1-18
    DOI: 10.1016/j.jeconom.2019.12.018
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    Cited by:

    1. Gimenes, Nathalie & Guerre, Emmanuel, 2022. "Quantile regression methods for first-price auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 224-247.

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    More about this item

    Keywords

    First-price auction; Interdependent values; Nonparametric identification;
    All these keywords.

    JEL classification:

    • C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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