• Medientyp: E-Book
  • Titel: Data Driven Regulation : Theory and Application to Missing Bids
  • Beteiligte: Chassang, Sylvain [Verfasser:in]; Kawai, Kei [Sonstige Person, Familie und Körperschaft]; Nakabayashi, Jun [Sonstige Person, Familie und Körperschaft]; Ortner, Juan M. [Sonstige Person, Familie und Körperschaft]
  • Körperschaft: National Bureau of Economic Research
  • Erschienen: Cambridge, Mass: National Bureau of Economic Research, 2019
  • Erschienen in: NBER working paper series ; no. w25654
  • Umfang: 1 Online-Ressource; illustrations (black and white)
  • Sprache: Englisch
  • DOI: 10.3386/w25654
  • Identifikator:
  • Reproduktionsnotiz: Hardcopy version available to institutional subscribers
  • Entstehung:
  • Anmerkungen: System requirements: Adobe [Acrobat] Reader required for PDF files
    Mode of access: World Wide Web
  • Beschreibung: We document a novel bidding pattern observed in procurement auctions from Japan: winning bids tend to be isolated. There is a missing mass of close losing bids. This pattern is suspicious in the following sense: it is inconsistent with competitive behavior under arbitrary information structures. Building on this observation, we develop a theory of data-driven regulation based on "safe tests," i.e. tests that are passed with probability one by competitive bidders, but need not be passed by non-competitive ones. We provide a general class of safe tests exploiting weak equilibrium conditions, and show that such tests reduce the set of equilibrium strategies that cartels can use to sustain collusion. We provide an empirical exploration of various safe tests in our data, as well as discuss collusive rationales for missing bids
  • Zugangsstatus: Freier Zugang