Estimating private costs in a descending clock auction: The FCC’s rural digital opportunity fund
Ignacio J. Núñez
Telecommunications Policy, 2025, vol. 49, issue 6
Abstract:
In the United States, the Federal Communications Commission (FCC) distributes subsidies to broadband providers to offer high-speed broadband in unserved areas. This article examines the FCC’s largest program to date, the 2020 Rural Digital Opportunity Fund (RDOF) auction, which distributed billions of dollars and replaced a subsidy mechanism based on engineering cost estimates. I propose a novel model to estimate the private costs of an incumbent wireline provider in areas adjacent to the incumbent’s existing infrastructure. In the model, the incumbent bids for each area up to their private cost, whereas rival bidders include entrant providers that solve a dynamic bidding problem accounting for fixed and interconnection costs. I apply the model to a major incumbent in the RDOF. The findings show that the incumbent received modest rents, almost 70% lower than under the engineering cost estimates.
Keywords: Simultaneous Auctions; Private Values; Structural Estimation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308596125000722
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:telpol:v:49:y:2025:i:6:s0308596125000722
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/bibliographic
http://www.elsevier. ... /30471/bibliographic
DOI: 10.1016/j.telpol.2025.102975
Access Statistics for this article
Telecommunications Policy is currently edited by Erik Bohlin
More articles in Telecommunications Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().