Not knowing the competition: evidence and implications for auction design

DOIhttp://doi.org/10.1111/1756-2171.12342
Published date01 September 2020
Date01 September 2020
AuthorYunmi Kong
RAND Journal of Economics
Vol.51, No. 3, Fall 2020
pp. 840–867
Not knowing the competition: evidence
and implications for auction design
Yunmi Kong
In a government auction program wherefirst-price auctions generate significantly higher revenue
than English auctions, I document evidence that bidders are uncertain about the number of auc-
tion entrants. Motivated by additional data evidence, I estimate a structural model of auctions
in which rivals’ participation is stochastic, allowing for bidders’ risk aversion and asymmetry.
Counterfactual simulations reveal that bidders’ uncertainty about the number of entrants, com-
bined with risk aversion, substantially softens the revenue impact of lowcompetition in first-price
auctions. This explains the observed revenue patterns and uncovers an empirically important
reason for sellers to favor first-price auctions over English auctions.
1. Introduction
This article presents empirical evidence that uncertainty about the number of entrants com-
bined with risk aversion, a very plausible feature of real-world auctions, is of first-order impor-
tance for auction design. In a government auction program where first-price auctions generate
significantly higher revenue than English auctions, I document evidence that bidders are uncer-
tain about the number of auction entrants. Motivated by additional data evidence, I estimate a
structural model of auctions in which rivals’ participation is stochastic from the bidder’s point of
view, allowing for bidders’ risk aversion and asymmetry. Counterfactual simulations using the
estimated model reveal that bidders’ uncertainty about the number of entrants, combined with
risk aversion, substantially softens the revenue impact of low competition in first-price auctions
but has no effect in English auctions. This explains the observed revenue difference betweenauc-
tion formats and uncovers an empirically important reason for sellers to favor first-price auctions
Rice University; yunmi.kong.01@gmail.com.
This article incorporates content that was previously circulated under the title “Selective Entry in Auctions: Estima-
tion and Evidence.” Kong would like to thank the New Mexico State Land Officefor generous assistance in collecting
and interpreting the data. Special thanks are due to Stephen Wust, Joe Mraz, and Dan Fuqua. Chris Barnhill, Kevin
Hammit, Tracey Noriega, Philip White, and Lindsey Woods also provided valuable industry insights. The author would
like to thank Xiaohong Chen, Jeremy Fox, Emmanuel Guerre, Kei Kawai, Vijay Krishna, Laurent Lamy, John Lazarev,
Alessandro Lizzeri, Xun Tang, anonymousreferees, and par ticipants of the NYU CRATE lunch (2014), NYU Stern Fri-
day seminar (2015), SITE Workshop(2015), World Congress of the Econometric Society (2015 Montreal), NYU alumni
conference (2017), and Midwest Econometrics Group (2017 TAMU)for helpful comments and suggestions. The author
is deeply indebted to Isabelle Perrigne and Quang Vuong for their invaluable guidance and support. All remaining er-
rors are the author’s.Financial support from the NYU Center for Research in Applied and Theoretical Econometrics is
gratefully acknowledged.
840 © 2020, The RAND Corporation.
KONG / 841
over English auctions. To my knowledge, this is the first study to show the empirical importance
of uncertainty about entrants and risk aversion.
I study auctions run by the New Mexico State Land Office (NMSLO) in the Permian Basin
between 2005 and 2014; the Permian Basin is one of the most prolific and economically impor-
tant oil and gas basins in the world.1I document the following data patterns. (i) The first-price
sealed-bid auction generates about 30% higher revenue than English auctions, controlling for
characteristics of the auction item. (ii) Bidders in the sealed-bid auction bid several multiples of
the publicly announced reserve price even when they are the only bidder, whereas single-bidder
English auctions yield exactly the reserve price. Pattern (ii) reveals that bidders face uncertainty
about the number of auction entrants; if a bidder knew for certain he was the only entrant, he
would have bid the reserve price, which is the minimum acceptable bid. Meanwhile, I note that
the majority of bidders are small, local independent operators, which makes it likely that at least
some bidders are risk-averse. Whether bidders are risk-averseis important because we knowfrom
auction theory (McAfee and McMillan (1987) and Matthews (1987)) that, although uncertainty
about entrants is revenue-neutral under risk-neutrality, it breaks revenue equivalence in the same
direction as pattern (i) under reasonable forms of risk aversion. Intuitively, risk-averse bidders
in first-price auctions insure themselves against the possibility of a large number of entrants by
bidding relatively high, even when the expected number of entrants is low. Bidders also exhibit
asymmetry, which, as shown inMaskin and Riley (2000a), can contribute to patter n (i) as well.
To understand the cause of the revenue difference between auction formats, I estimate an
auction model in which bidders are uncertain about the set of entrants and allowed to be asym-
metric and risk-averse. From a bidder’s perspective, each potential competitor enters the auction
with some known probability,resulting in uncertainty about the set of entrants. I allow these entry
probabilities to differ by auction format, so that different entry rates can also be an explanation for
the observed revenue difference. Exploiting the presence of two auction formats, I nonparamet-
rically identify and estimate bidders’ value distributions and utility functions. Estimates indicate
that bidders are moderately risk-averse, at a level similar to what has been measured in previous
studies of risk aversion.
Counterfactual simulations that isolate the effect of each model feature reveal that uncer-
tainty about entrants combined with risk aversion is the main cause of the observed revenue
difference between first-price and English auctions. This finding is robust to alternative speci-
fications of the details surrounding auction entry, such as the number of potential bidders and
whether entry is selective. Uncertainty and risk aversion yield this outcome by boosting revenue
in first-price sealed-bid auctions although not affecting English auctions. The boost is largest
when the number of realized entrants is low, softening the negative effect of low competition.
Empirically, the magnitude of this boost is often similar to that of having one additional entrant.
As such, this is a first-order consideration for sellers choosing between first-price and English
auctions in low competition environments.
The qualitative patterns documented in this study are not particular to the NMSLO auctions;
they are consistent with early intuition in natural resource policy that preceded—and did not have
the benefit of—the auction theory used in this article. Surveying federal and state natural resource
auctions, Mead (1967) remarks anecdotally that even when“a lack of bidder interest [...] results in
one-bidder sales under sealed bid procedures, such sales may yield a price close to a competitive
price,” and where “competition is unreliable, sealed bidding is the more appropriate method as
it introduces a measure of uncertainty about who may appear as a bidder.” The findings are also
important because, as Bulow and Klemperer (1996) have noted, low competition is a critical
concern, and it is common in government auctions; Haile, Hendricks, and Porter (2010), in their
description of U.S. offshore oil and gas lease bidding, remark that “93% of tracts sold attracted
one or two bids” in 1998–2002.
1https://www.britannica.com/place/Permian-Basin
C
The RAND Corporation 2020.

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