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Market Structure and Behavior
Martin Shubik
Harvard University Press, 1980

Martin Shubik brings classical oligopoly theory and research in mathematical economics close to new studies in industrial organization and simple game experiments in this imaginative and important new work. He engages the reader by creating a market model and by explaining its availability as a computer program, thus promoting interest in game experiments. In all, he admirably succeeds in increasing our understanding of the meaning of competitive and cooperative behavior and of market structure.

This unusual book covers a variety of topics: economic explanation, model building, analyses of duopoly and oligopoly, product differentiation, contingent demand, demand fluctuations, the study of non-symmetric markets, and advertising. All of these parts of Shubik's overall pattern of interpretation may also be used in a game which, more or less, coincides with the exposition of theory and the subject matter of accounting. A complete linking of basic accounting items to the oligopoly model and theory is made. Shubik bridges the gap between information as it appears to the businessman—the player in the game—and the economic model and abstraction of the market as it appears to the economic theorist.

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Mathematical Models of Social Evolution
A Guide for the Perplexed
Richard McElreath and Robert Boyd
University of Chicago Press, 2007

Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field.

Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.

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The Maze of Urban Housing Markets
Theory, Evidence, and Policy
Jerome Rothenberg, George C. Galster, Richard V. Butler, and John R. Pitkin
University of Chicago Press, 1991
This powerful new theoretical approach to analyzing urban housing problems and the policies designed to rectify them will be a vital resource for urban planners, developers, policymakers, and economists. The search for the roots of serious urban housing problems such as homelessness, abandonment, rent burdens, slums, and gentrification has traditionally focused on the poorest sector of the housing market. The findings set forth in this volume show that the roots of such problems lie in the relationships among different parts of the market—not solely within the lower-quality portion—though that is where problems are most dramatically manifested and housing reforms are myopically focused.

The authors propose a new understanding of the market structure characterized by a closely interrelated array of quality submarkets. Their comprehensive models ground a unified theory that accounts for demand by both renters and owner occupants, supply by owners of existing dwellings, changes in the stock of housing due to conversions and new construction, and interactions across submarkets.
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Modeling Japanese-American Trade
A Study of Asymmetric Interdependence
Peter A. Petri
Harvard University Press, 1984

This book examines, in rigorous, quantitative detail, the structure of trade between Japan and the United States, tracing the evolution of trade interdependence and the causes of its increasing intensity. It also looks at sectoral differences in interdependence—at the patterns behind changes in the composition of trade and the complex factors that determine how individual sectors of each economy respond to economic change in all the others.

In the first part, the author designs and estimates a multicountry, multisectoral general equilibrium model. The model is operationalized with careful estimates of the parameters that govern demand, production, and trade in both economies. In the second part, the model is employed to explore various aspects of interdependence and commercial policy. Peter Petri's findings indicate, among other things, that the American and Japanese economies are more closely related than one might judge from the size of their trade. As a result of differences in the structures of the two economies, their interdependence is sharply asymmetric, with economic events in the United States having a greater impact on Japan than vice versa. The study also shows that the roots of bilateral conflict can be traced to structural causes, and suggests that recent structural changes may have increased the incentives for protectionism.

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Modeling Nature
Sharon E. Kingsland
University of Chicago Press, 1995
The first history of population ecology traces two generations of science and scientists from the opening of the twentieth century through 1970. Kingsland chronicles the careers of key figures and the field's theoretical, empirical, and institutional development, with special attention to tensions between the descriptive studies of field biologists and later mathematical models. This second edition includes a new afterword that brings the book up to date, with special attention to the rise of "the new natural history" and debates about ecology's future as a large-scale scientific enterprise.
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Modelling and Parameter Estimation of Dynamic Systems
J.R. Raol
The Institution of Engineering and Technology, 2004
Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that exist are based on least-square minimisation of error between the model response and actual system response. However, with the proliferation of highspeed digital computers, elegant and innovative techniques like filter error method, genetic algorithms and artificial neural networks are finding more and more use in parameter estimation problems. Modelling and Parameter Estimation of Dynamic Systems presents a detailed examination of many estimation techniques and modelling problems.
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Modelling Enterprise Architectures
Jon Holt
The Institution of Engineering and Technology, 2010
For any organisation to be successful in an increasingly competitive and global working environment, it is essential that there is a clear understanding of all aspects of the business. Given that no two organisations are exactly alike, there is no definitive understanding of exactly what these aspects are as they will depend on the organisation's nature, size and so on. Some of the aspects of the business that must be considered include: process models, process descriptions, competencies, standards, methodologies, infrastructure, people and business goals.
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Models for Managing Regional Water Quality
Robert Dorfman
Harvard University Press, 1972

This volume is the latest research report from the Harvard Water Program in the series that began with Design of Water-Resource Systems and includes Simulation Techniques for Design of Water-Resource Systems and Streamflow Synthesis. The emphasis is on the systems analysis of the control of water quality in a river basin or watershed. Classical methods such as low-flow augmentation are analyzed as well as novel ones such as instream aeration and piping of effluents from their point of origin to less harmful points of discharge. Particular attention is paid to the economic evaluation of the methods studied and to the resolution of the political conflicts that are likely to arise in a situation where the costs of combating pollution are borne by different people from those who benefit from the improvement.

The main thesis is that the technical, economic, and political aspects of water quality management have to be considered together in the search for effective, economical, and politically acceptable solutions to the problems of deteriorating water quality. Some practical methods for integrating these diverse considerations in a systems analysis are presented.

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Models of Strategic Choice in Politics
Peter C. Ordeshook, Editor
University of Michigan Press, 1989
Discusses the sophisticated application of game theory to the development of contemporary political theory
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