Coordination versus differentiation in a standards war: 56K modems

AuthorAngelique Augereau,Shane Greenstein,Marc Rysman
Date01 December 2006
DOIhttp://doi.org/10.1111/j.1756-2171.2006.tb00062.x
Published date01 December 2006
mss # Augereau et al.; art. # 07; RAND Journal of Economics vol. 37(4)
RAND Journal of Economics
Vol.37, No. 4, Winter 2006
pp. 887–909
Coordination versus differentiation in a
standards war: 56K modems
Angelique Augereau
Shane Greenstein∗∗
and
Marc Rysman∗∗∗
56K modems were introduced under two competing incompatible standards.We show the impor-
tance of competition between internet service providers in the adoption process. We show that
ISPs were less likely to adopt the technology that more competitors adopted. This result is par-
ticularly striking given that industry participants expected coordination on one standard or the
other. We speculate about the role of ISP differentiation in preventing the market from achieving
standardization until a standard setting organization intervened.
1. Introduction
We study the adoption of 56K modems by internet service providers (ISPs). Introduced
in 1997, 56K modems allowed for data transfer off of the Internet at up to twice the speed of
the previous technology at a time when the demand for large files such as graphics became
increasingly important. Originally, there were two competing specifications for the standard from
two competing consortia, one led by the equipment manufacturer US Robotics, the other by
Rockwell. The technologies were functionally identical in the sense that they had the same
performance characteristics. However, the technologies were incompatible. If a consumer used
one technology and the consumer’s ISP used the other, data transfer speed diminished to that of
the previous technology, only 33K or 28K.
We focus on understanding the role of competition in adoption by an ISP. We show that
ISPs differentiated across technologies rather than coordinating on one technology or the other.
Specifically, we show that ISPs were less likely to adopt a technology as more of their local
Archetype Solutions; aaugerau@archetype-solutions.com.
∗∗ Northwestern University; greenstein@kellogg.northwestern.edu
∗∗∗ Columbia University; bs2237@columbia.edu.
Wethank seminar audiences at the SED 2002 meetings in New York,the Wharton School, the University of Toronto,
Brown University,the Department of Justice, the University of Illinois, and Pennsylvania State University,the AEA 2003
meetings in Washington, D.C., the Federal Reserve Bank of Chicago, Northwestern University, Syracuse University, the
NBER Winter IO Meetings of 2005 in Palo Alto, California, MIT, LSE, UCL, and the Graduate School of Business at
Stanford University.We also thank Tim Bresnahan, David Dranove,Phil Haile, Mike Mazzeo, Ariel Pakes, Greg Rosston,
Katja Seim, VictorStango, and two anonymous referees and the Editor for helpful comments. Martino De Stefano provided
excellent research assistance. This research was supported by NSF grant no. SES-0112527 and a grant from NET Institute.
Copyright ©2006, RAND. 887
mss # Augereau et al.; art. # 07; RAND Journal of Economics vol. 37(4)
888 / THE RAND JOURNAL OF ECONOMICS
competitors adopted that technology. This differentiation is particularly important because, as
we discuss below, it hindered coordination on a single standard technology, which could have
provided important benefits.
Theories about standardization discuss the role of competitive choice between standards, but
few prominent cases everpermit researchers to garner a close look at behavior during deployment,
which we get here. Also, there is very little empirical research to examine how competitive
behavior shapes demand for competing standards or vice versa. Data needs are the primary
impediment. We rarely observe competition between two comparable technologies played out in
more than one market. Even when that occurs, it is often difficult to disentangle the effects of
competition from other important effects.
This study’s setting is uniquely well suited to meet these requirements. An important feature
of the ISP market is that consumers almost always connect to ISPswithin their local telephone call-
ing plan. This creates numerous geographically distinct or partially overlapping markets, which
leads to geographically dispersed decision making and a variety of competitive interactions. We
study over 2,200 ISPs in 2,300 calling areas. Thus, we are able to compare decisions across mar-
kets, where a variety of factors shape decision making, such as the competitive and demographic
environment and ISP size.
We employ a series of empirical approaches. Simple statistics illustrate a prevalence toward
“even splits” in local markets. That is, adopting ISPs were more likely to be evenly split between
the two technologies than would be predicted by independent random choice. We also estimate
a structurally motivated model of each ISP’s choice over adoption of the two technologies as a
function of the competitiveenvironment, local demographics, ISP characteristics, and ISP decision
making across multiple markets. We capture the influence of an ISP’s adoption decision on its
rivals in a discrete game of imperfect information as suggested in Seim (2004).
Estimating a discrete game has well-known problems with endogeneity and multiple equilib-
ria. Fortunately,our data contain a great deal of useful variation. ISPs have different technological
characteristics and face different demographic characteristics due to imperfectly overlapping cov-
erage areas. Weuse this exogenous variation to predict the number of competitors that a given ISP
faces. The great asymmetry in the data means that our models typically have a unique equilibrium.
Throughout we conclude that an ISP is less likely to adopt a technology as more of its competitors
do so. We are particularly sensitive to the robustness of our inferences to unobservable errors at
ISPs or at locations, so we pursue a variety of strategies for estimation in the presence of such
errors.
Understanding the deployment of 56K modems is also interesting because the “standards
war” for 56K was well publicized. While many contemporary press reports discussed howmodem
makers competed fiercely for adoption by the earliest choosers, few had substantial data. Citing
such accounts, Shapiro and Varian (1999, pp. 267–270) feature the case prominently in their
discussion of strategic behavior and consortia development prior to deployment, but, again, they
do not present any evidence about actual adoption. Similarly,contemporary press accounts tend to
cover announcements from firms, not the deployment in each local area. No research has closely
examined the deployment decision of service providers, as we do.
The events are also interesting because they end in intervention from the International
TelecommunicationsUnion, a quasi-government agency. Before ITU intervention, this experience
appeared to be an example of “coordination failure.” That is, there was a benefit to coordinating
ISPs and consumers on a single standard as quickly as possible, but market actors failed to quickly
standardize. Market participants expected that standardization would arise because it was in users’
interests to do so. The popular standard would have more ISPs servicing it, which ensured con-
sumers of high-quality, low-hassle, low-price service into the future. However, coordination did
not arise in the first year of competition. Not only did the two technologies maintain relatively
similar levels of ISP commitments, but overallsales to consumers and ISPs were well below what
the market could have supported. Sales increased only after the ITU introduced a third incompat-
ible standard as a new focal point. The new standard quickly gained market acceptance, and high
industry sales followed.
© RAND 2006.

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