Data and Code for: License Complementarity and Package Bidding: U.S. Spectrum Auctions
Principal Investigator(s): View help for Principal Investigator(s) Mo Xiao, The University of Arizona; Zhe Yuan, Zhejiang University
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
Spectrum Data Submit | 08/28/2021 11:20:PM |
Project Citation:
Xiao, Mo, and Yuan, Zhe. Data and Code for: License Complementarity and Package Bidding: U.S. Spectrum Auctions. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-21. https://doi.org/10.3886/E138241V1
Project Description
Summary:
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U.S. spectrum licenses cover geographically distinct areas and often complement each other. A bidder seeking to acquire multiple licenses is then exposed to risks of winning only isolated patches. We evaluate the extent to which allowing bidders to bid for (predetermined) packages of licenses alleviates the exposure problem and improves allocation eciency. Using Auction 73 bidding data, we model the bidding process as an entry game with interdependent markets and evolving bidder belief. Bidders' decisions on bidding (and not bidding) provide bounds on licenses' stand-alone values and complementarity between licenses. With estimated bidder valuation, we conduct counterfactual analyses to show that the eects of package bidding on bidders' exposure risks depend on package format and package size. More importantly, package bidding increases auction revenue substantially, at the cost of reducing bidder surplus and increasing license allocation concentration.
Scope of Project
Subject Terms:
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Specturm Auction;
Complementarity;
Package Bidding;
Moment Inequality
JEL Classification:
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L13 Oligopoly and Other Imperfect Markets
L50 Regulation and Industrial Policy: General
L96 Telecommunications
L13 Oligopoly and Other Imperfect Markets
L50 Regulation and Industrial Policy: General
L96 Telecommunications
Geographic Coverage:
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United States
Time Period(s):
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2008 – 2008
Collection Date(s):
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2017 – 2017 (2017)
Universe:
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FCC auction 73
Data Type(s):
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administrative records data;
census/enumeration data
Methodology
Data Source:
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FCC
US census
US census
Collection Mode(s):
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mixed mode
Unit(s) of Observation:
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1289079
Geographic Unit:
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county
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