Industry Shock Expectations, Interindustry Linkages, and Merger Waves: Evidence from the Hospital Industry

AuthorRobert Town,Minjung Park
DOIhttp://doi.org/10.1111/jems.12067
Published date01 September 2014
Date01 September 2014
Industry Shock Expectations, Interindustry
Linkages, and Merger Waves: Evidence from the
Hospital Industry
MINJUNG PARK
Haas School of Business
University of California
Berkeley, CA, USA
minjungp@gmail.com
ROBERT TOWN
The Wharton School
University of Pennsylvania
Philadelphia, PA,USA
rjxtown@gmail.com
It is well known that mergers often occur in waves, and this paper develops a new mechanism for
merger waves: expectations over industry shocks. We develop a simple test of this explanation and
use it to explore the role of expectations in the context of the 1990s hospital merger wave. Managed
care such as Health Maintenance Organizations (HMOs) started to become popular in the late
1980s and ultimately became an important player in the health insurance market. Our empirical
analysis shows that the expected increase in the popularity of HMOs was partly responsible for
the hospital merger wave of the 1990s: hospitals feared that the “innovation” of managed care in
the downstream insurance market would penetrate the upstream hospital market and responded
to this belief by merging. Our results show the importance of incorporating expectations and
interindustry linkages into the understanding of merger waves.
1. Introduction
It is well known that mergers often occur in waves and during these waves large amounts
of capital are reallocated across the economy (e.g., Town, 1992; Holmstrom and Kaplan,
2001). Many explanations for merger waves have been offered in the literature. One
of the leading hypotheses is that merger waves are a response to industry shocks.
Changes in economic environments such as deregulation, input costs movements, or
technological developments could necessitate a large-scale reallocation of assets in an
industry, resulting in merger waves clustered by industry (Stigler, 1950; Gort, 1969;
Mitchell and Mulherin, 1996; Andrade et al., 2001). Others emphasize the role of capital
liquidity and the relaxation of financing constraints (Harford,2005; Eisfeldt and Rampini,
2006). For instance, Harford (2005) argues that both industry-level shocks and sufficient
capital liquidity are required for a merger wave to occur. Yet others posit that merger
waves might occur when managers take advantage of temporary market misvaluation
(Rhodes-Kropf and Viswanathan, 2003; Shleifer and Vishny, 2003).
The current consensus is that all of these theories have some relevance for explain-
ing merger waves—different theories apply to different periods and differentindustries
Wethank Martin Gaynor, an anonymous reviewer, and thecoeditor for their insightful comments. All remain-
ing errors are our own.
C2014 Wiley Periodicals, Inc.
Journal of Economics & Management Strategy, Volume23, Number 3, Fall 2014, 548–567
Merger Waves in the Hospital Industry 549
(Martynova and Renneboog, 2008). Yet, despite this belief, there is no broad agreement
on the correct theory to apply to a specific merger wave context. For example, several
papers have argued that the merger wave of the late 1990s was a consequence of stock
market misvaluation (Rhodes-Kropf and Viswanathan, 2003; Shleifer and Vishny, 2003)
whereas Holmstrom and Kaplan (2001) contend that it was driven, in large part, by
deregulation. Stigler (1950) famously characterized the turn of the 20th century merger
wave as motivated by monopoly objectives in response to the Supreme Court ruling on
the illegality of price fixing. Jovanovic and Rousseau (2008) emphasize the causal role of
new, general purpose technologies in merger waves. According to their view, the 1900s
wave was caused by the diffusion of electricity and the 1990s wave was a consequence
of improvements in information technology. If economists cannot agree on the causal
factors underlying a given merger wave, it suggests that our understanding of merger
waves is still incomplete.
The empirical evidence used to test these theories generally emanates from popular
press and trade publication assessments combined with across industry correlations
between some hypothesized factor (which is generally proxied by an industry-level
variable) and merger activity. Although the use of cross-industry variations is a useful
first step toward understanding merger waves, this approach suffers from standard
threats to causal inference. In particular, such an approach does not control for omitted
industry characteristics that are correlated with both the hypothesized factor and merger
activity.1
In this paper, we study the large, transformative hospital merger and acquisi-
tions wave of the 1990s. The mean, population weighted, Herfindahl–Hirschman index
(HHI) in Health Services Areas (HSAs)—a common definition of market in the hospital
industry—increased from 1,975 to 2,694 between 1990 and 2000. This period overlaps
with the rise of managed care health insurance and the policy debate over the ultimately
unsuccessful Clinton health reform.2These two events are widely credited as igniting
the storm of hospital consolidation.
Prior to the rise of managed care, the dominant form of health insurance was
indemnity insurance. In an indemnity plan, the enrollee can see any provider and the
insurer generally pays “usual and customary” rates. The rise of Health Maintenance
Organizations (HMOs; a strong form of managed care) significantly altered the market
environment for hospitals. For a typical hospital, approximately half of its patients
are covered by private health insurance and managed care may reduce those patients’
demand for inpatient services by tightly controlling health care utilization. Such negative
demand shocks can prompt mergers(e.g., Qiu and Zhou, 2007). More importantly, HMOs
have greater bargaining power with hospitals than indemnity insurers because HMOs
can direct a large pool of patients to (or away from) hospitals through the selective
contracting mechanism (Altman et al., 2003).3Thus, merger could be a logical strategic
response of hospitals when faced with decreased bargaining leverage against HMOs
(Gowrisankaran et al., 2013).
Our goal in this paper is to empirically investigate whether the HMO “revolution”
in the downstream health insurance market prompted the hospital merger wave of
the 1990s in the upstream market. The merger waves literature generally ignores the
1. The weaknesses of interindustry studies are well known in the industrial organization literature (see
Schmalensee, 1989).
2. The promotion of HMOs was central to the Clinton health reform proposal.
3. Health insurers construct networks of providers that their enrollees can access. Selective contracting
refers to the practice of including a subset of the available providers in the health insurer’s network.

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