Moral Hazard, Agency Cost, and Firm Growth

AuthorRui Li,Mengying Wang
DOIhttp://doi.org/10.1111/irfi.12233
Published date01 September 2020
Date01 September 2020
Moral Hazard, Agency Cost,
and Firm Growth
RUI LI AND MENGYING WANG
Department of Accounting and Finance, University of Massachusetts Boston,
Boston, MA
ABSTRACT
We study how the agency cost implied by the moral hazard problem in a
rm dynamics model affects the life cycle growth pattern of rms. In the
early stage of a rms growth, the agency cost restricts the rms capital input
and diminishes over time, so that the rms growth is driven by efciency
improvements and an exogenous progress in productivity. In the long run,
when the rm loses its potential to improve efciency, growth is driven only
by the progress in productivity. As a result of this growth mechanism, consis-
tent with the data, the growth rate and its vola tility, as well as TobinsQ,
decrease with age and size. Moreover, the cross-sectional distributions of rm
size and managerial compensation obey a power law, as they do in the data. In
addition, the model provides novel implications for how the characteristics of
the production technology and the preferences of the economic agents affect
the growth pattern of rms, and these implications are poten tially testable.
JEL Codes: G30
Accepted: 8 August 2018
I. INTRODUCTION
The empirical literature has documented two sets of prominent stylized facts:
First, older or larger rms grow more slowly than their younger or smaller coun-
terparts, their growth rates are less volatile, and they have a smaller Tobins
Q. Second, the cross-sectional distributions of rm size and managerial com-
pensation are highly skewed to the right and obey a power law. Understanding
the growth mechanism behind these two sets of facts is important because they
are direct outcomes of rm growth, have been documented for decades, and are
very robust across different data sets and time. However, simultaneously
explaining those empirical facts in a frictionless economy would be challeng-
ing.
1
Therefore, in this paper, we introduce moral hazard into an otherwise
standard rm growth framework to understand the underlying growth mecha-
nism for the empirical facts.
1 For example, in such an economy, a constant returns to scale production technology would
imply i.i.d. rm growth, which gives rise to the power law of size distribution (Gibrats law),
but it rules out any age and size dependence of rm growth and TobinsQ.
© 2018 International Review of Finance Ltd. 2018
International Review of Finance, 20:3, 2020: pp. 639664
DOI: 10.1111/ir.12233
Because of the moral hazard problem, in our model, when a new rm is estab-
lished, it is subject to a signicant agency cost, which restricts it capital input to
be lower than the efcient level. In the early stage of its life cycle, the agency
cost diminishes so that the rms growth is fast and is driven by efciency
improvements and an exogenous progress in productivity. We say the rm is in
the inefcient state. The rm is expected to lose its potential to improve efciency
and reach the efcient state in the long run. In the efcient state, rm growth is
slow and driven only by the progress in productivity progress. As a result of this
two-state growth mechanism, the growth rate and its volatility decrease with age
and size. Since large rms keep growing because of productivity progress, the
unbounded growth gives rise to a power law in the rm size and managerial
compensation distributions. Moreover, the decreasing returns to scale produc-
tion function in our model imply negative size and age effects on TobinsQ.In
addition, the model provides novel implications for how the parameters related
to the production function and the agentspreferences affect the life cycle
growth pattern of the rms, and these implications are potentially testable.
In our model, a shareholder delegates her rms to a group of managers, with
each manager operating one rm. Over a long time horizon, the rms produce
consumption goods by combining their production technology with capital. We
assume that the rms experience exogenous and unbounded productivity
growth. Moral hazard arises because a rms income is subject to random shocks
that are not observable to the shareholder. Hence, the manager could divert the
rms income for consumption by reporting a loss from a negative shock. To
deter hidden diversions, the shareholder has to punish the manager by cutting
managerial pay if a low level of income is realized. However, the manager is pro-
tected by limited liability so that liquidation of the rm has to be used as an ulti-
mate punishment after a large amount of reported losses. The punishments have
to be no less than the reported losses, which are proportional to the scale of pro-
duction and the volume of income overseen by the manager. Consequently, the
liquidation probability increases with the capital employment, and then an
agency cost arises, which restricts the rms capital at an inefciently low level.
In our model, the agency cost decreases with the managers stake in the rm,
which is measured by the present value of his future compensation relative to
the production scale, because a larger stake on the managers part allows the rm
to punish the manager for larger losses without triggering liquidation.
To alleviate the agency cost and raise the capital input, the contract raises
the managers stake in the rm by deferring his compensation. Hence, in the
early stage of its life cycle, a rm grows at a higher rate because its growth is
driven by both efciency improvements and the exogenous productivity pro-
gress. Once capital reaches its rst-best level, as expected in the long run when
the managers stake reaches an upper bound, the rm loses its potential to
improve efciency, and its growth is driven only by the productivity progress.
2
2 Notice that the efcient state is not absorbing, as the managers stake could decrease when
negative shocks hit and the capital input could become inefcient again.
© 2018 International Review of Finance Ltd. 2018640
International Review of Finance

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