Caputo, Michael R. Foundations of Dynamic Economic Analysis:
Optimal Control Theory and Applications. Cambridge University Press,
2005, xii + 579 pp., $100 (hardcover), $48 (soft)
Since the publication of Dynamic Optimization in 1981 by Morton
Kamien and Nancy Schwartz, a number of books have arrived on the scene
with the specific intent of developing the foundations of dynamic
optimization in a context of economic problem structures. The optimal
control approach has been de rigueur with other authors paying varying
degrees of attention to the calculus of variations and the dynamic
programming approach. The trend commenced from the development of models
of dynamic interactions replete with analytical and qualitative
characterizations of equilibria. As computing power increased, the
interest migrated to econometric-based approaches to primal- or
dual-problem structures and computational solutions that cared little
for closed-form solutions.
Michael Caputo has prepared a book that is a throw-back in the
sense of returning to the basics of the mathematics of dynamic
optimization, with an eye on motivation for the economist. Professor
Caputo is legendary as an excellent and demanding lecturer and I have
seen him present a lecture where students walk away wanting to know more
about the mathematics of open balls. He fully subscribes to the notion
that it is our interest in the economic issues that motivates the
interest in studying the mathematics. His book is a masterpiece in this
sense. I view the book in four parts where each part scaffolds the
reader to the next part.
The first four chapters encompass Part I of the book, starting off
with an outstanding introductory chapter that clearly sets the stage for
the rest of the text. There is a mixture of rigor and motivation
throughout relating the mathematics and the reader's intuition
about static optimization to the notions of time and decisions. There
are four different applied problem settings introduced in this chapter
to keep the mix between theory and economic context well matched. The
mathematics is the context of continuous time, as is the setting for the
entire text, and ends with a set of exercises, as is the case in all
chapters. The chapters that follow pay equal attention to necessity and
sufficiency. Applied economists often take the conditions revolving
around necessity more seriously, being willing to assume that solutions
exist and take a passing nod to sufficiency. Chapter 2 focuses entirely
on the necessary conditions that an optimal solution path/trajectory
must obey. The notions of state equation and transversality are
introduced here and the use of a fairly general notion is used, as well
as the motivation and development of the Pontryagin conditions. Chapter
4 takes explicit aim at interpretations of the Maximum Principle
starting off with both rigor and intuitive motivation for the backward
nature of the optimal solution paths. The economic interpretations
follow in some detail along with a set of examples that build on the
presentation of the same problems in earlier chapters. The sufficiency
conditions are also treated to the interpretations including
consideration of inequality constraints.
Chapters 5 through 8 encompass the next major part of the book
dealing with the classification of optimal control problems by the
structure of the objective. The most common starting point is the linear
control problem addressed in Chapter 5. It is rare to see an entire
chapter addressing this class of problem that addresses the bang-bang
and singular control solutions. The jump discontinuities require care in
interpretation and characterization for the sufficiency of a solution,
with care being taken to point out that linearity of an optimal control
problem in the control variable alone is not sufficient for bang-bang
control to be optimal. Chapter 6 broadens the discussion of necessity
and sufficiency to condition the set of constraints that involve both
the state and control variables (or mixed constraints) ending with the
generalization of the Mangasarian version of sufficiency (which assumes
the concavity of the Lagrangian in states and controls) to the Arrow
sufficiency version (which assumes that the optimized Hamiltonian is
concave in states). Chapter 7 takes the next step in the generalization
to consider an infrequently addressed case of isoperimetric problems,
which involve an integral expression as constraints, and develops the
necessary and sufficient conditions to solve these problems directly.
The principal-agent problem is considered in some detail and this is the
first opportunity Prof. Caputo takes to articulate the Dynamic Envelope
Theorem, which he pioneered. Chapter 8 takes care to characterize the
reciprocal or inverse problems associated with an optimization that
included the duality relations. Prof. Caputo takes care to make sure the
reader is particularly clear on his distinction between reciprocal and
dual relationships. The economic cognates to static theory are drawn as
he is working through these conditions, and the abstract
characterizations presented are then definitized in the context of a
nonrenewable resource-extracting firm problem. This all leads to a
characterization of comparative dynamics and the properties of its
analysis. This chapter is an example of the mixture of rigor,
motivation, and interpretation.
Part III of the book encompasses chapters 9 through 14, which take
close aim on the analysis of economic adjustment over time and the
characterization of microeconomic dynamics. Chapters 9 and 10,
respectively, deal with economic interpretations and the transversality
relationships associated with the Dynamic Envelope Theorem. This is tied
together nicely with comparative dynamics in a primal-dual framework in
the following chapter, with Chapter 12 addressing the notions of
discounting, the current value Hamiltonian, and the time inconsistency
problem. The qualitative characterization of optimal solutions is
introduced in Chapter 12 with the presentation of autonomous (not
explicitly time-dependent) differential equations and the phase plane
portraits they imply. There are many exercises to encourage practice and
this is arguably the best presentation in an economics text of such
analysis. Chapter 13 returns to optimal control problems with the
presentation of the necessary and sufficient conditions of the infinite
horizon optimal control problem and points out where the finite horizon
results differ.
The final part of the book is the focused consideration of some
classic archetype dynamic economic models. Chapter 15 returns us to
neoclassical growth that I recall slogging through in Intrigator's
mathematical economics text, while Chapter 16 addresses dynamic limit
pricing. The adjustment costs model of the firm is addressed in a
subsequent chapter. Each presentation is unified with the discussion of
the necessary and sufficiency conditions and phase plane analysis
presented in the chapters in Part III. Chapter 18 takes a step back to
considering a classic structure of the infinite horizon optimal control
with one state and one control, which seems to be included for the sake
of completeness for the discussion of the properties and character of
classic dynamic economic problem structures. The penultimate chapter
introduces an alternative to optimal control with the dynamic
programming approach leading to the Hamilton-Jacobi-Bellman equation.
The value of this chapter for this text is for the final chapter on the
dynamic duality theory of the adjustment cost firm.
As promoted in the title, Prof. Caputo indeed lays a foundation
with the heart of teacher as he presents the goals of each chapter in
the outset and offers exercises that are designed to both stimulate and
exercise the reader's training. The mixture of mathematical
reasoning, economic intuition, and examples is well balanced in every
single chapter. The index is impressive, allowing the reader to search
quickly for the problem of interest. This is an impressive book that
should find its way to the shelves of those interested in the core
understanding of dynamic economic relationships and their structure,
analysis, and interpretation.
Spiro E. Stefanou
Pennsylvania State University
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