Complementarities and collusion in an FCC spectrum auction

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Complementarities and collusion in an FCC spe ...
Patrick L. Bajari
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December 13, 2020 | History

Complementarities and collusion in an FCC spectrum auction

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"We empirically study bidding in the C Block of the US mobile phone spectrum auctions. Spectrum auctions are conducted using a simultaneous ascending auction design that allows bidders to assemble packages of licenses with geographic complementarities. While this auction design allows the market to find complementarities, the auction might also result in an inefficient equilibrium. In addition, these auctions have equilibria where implicit collusion is sustained through threats of bidding wars. We estimate a structural model in order to test for the presence of complementarities and implicit collusion. The estimation strategy is valid under a wide variety of alternative assumptions about equilibrium in these auctions and is robust to potentially important forms of unobserved heterogeneity. We make suggestions about the design of future spectrum auctions"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Cover of: Complementarities and collusion in an FCC spectrum auction
Complementarities and collusion in an FCC spectrum auction
2005, National Bureau of Economic Research
Electronic resource in English

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Book Details


Edition Notes

Includes bibliographical references.
Title from PDF file as viewed on 10/13/2005.
Also available in print.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series ;, working paper 11671, Working paper series (National Bureau of Economic Research : Online) ;, working paper no. 11671.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL3479212M
LCCN
2005620346

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Download catalog record: RDF / JSON
December 13, 2020 Edited by MARC Bot import existing book
December 5, 2010 Edited by Open Library Bot Added subjects from MARC records.
December 10, 2009 Created by WorkBot add works page