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If Winning Isn't Everything, Why Do They Keep Score? A Structural Empirical Analysis of Dutch Flower Auctions

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  • Van den Berg, Gerard
  • van der Klaauw, Bas

Abstract

This paper provides a structural empirical analysis of Dutch auctions of houseplants at the flower auction in Aalsmeer, the Netherlands. The data set is unique for Dutch auctions in the sense that it includes observations of all losing bids in an interval adjacent to the winning bid. The size of this interval is determined by the speed of reaction of the auction participants, and as such these data are collectible due to neurological constraints on information processing. The data on losing bids are shown to be informative on the structural model determinants. The models are estimated using the Gibbs sampler with data augmentation. We take account of data limitations concerning the number of bidders. The estimation results are used to investigate whether actual reserve prices are optimal, and to determine the effects of reserve price changes.

Suggested Citation

  • Van den Berg, Gerard & van der Klaauw, Bas, 2007. "If Winning Isn't Everything, Why Do They Keep Score? A Structural Empirical Analysis of Dutch Flower Auctions," CEPR Discussion Papers 6323, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:6323
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    Cited by:

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    2. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
    3. An, Yonghong & Hu, Yingyao & Shum, Matthew, 2010. "Estimating first-price auctions with an unknown number of bidders: A misclassification approach," Journal of Econometrics, Elsevier, vol. 157(2), pages 328-341, August.

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    More about this item

    Keywords

    Data augmentation; First-price auction; Gibbs sampling; Markov chain monte carlo; Observing losing bids; Private value; Reserve price; Speed of reaction;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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