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Martin Shubik

Martin Shubik is Seymour Knox Professor of Mathematical Institutional Economics (Emeritus) at Yale University’s Cowles Foundation and School of Management.

Titles by This Author

The Theory of Money and Financial Institutions

By Martin Shubik

This is the third and last volume of Martin Shubik's exposition of his vision of "mathematical institutional economics"—a term he coined in 1959 to describe the theoretical underpinnings needed for the construction of an economic dynamics. The goal is to develop a process-oriented theory of money and financial institutions that reconciles micro- and macroeconomics, using strategic market games and other game-theoretic methods.

The Theory of Money and Financial Institutions

By Martin Shubik

This is the first volume in a three-volume exposition of Martin Shubik's vision of "mathematical institutional economics"—a term he coined in 1959 to describe the theoretical underpinnings needed for the construction of an economic dynamics. The goal is to develop a process-oriented theory of money and financial institutions that reconciles micro- and macroeconomics, using as a prime tool the theory of games in strategic and extensive form.

The Theory of Money and Financial Institutions

By Martin Shubik

This is the second volume in a three-volume exposition of Martin Shubik's vision of "mathematical institutional economics"—a term he coined in 1959 to describe the theoretical underpinnings needed for the construction of an economic dynamics. The goal is to develop a process-oriented theory of money and financial institutions that reconciles micro- and macroeconomics, using as a prime tool the theory of games in strategic and extensive form.

Game Theory in the Social Sciences

Concepts and Solutions
By Martin Shubik

Winner of the 1983 Lanchester Prize of the Operations Research Society of America

This book by a recognized authority on game theory and its applications introduces social scientists in a variety of disciplines to this powerful methodology. The emphasis throughout is on the empirical approach to model building and testing within the context of real-world situations.