Last edited by Goltishicage

Sunday, July 26, 2020 | History

4 edition of **Mathematical models of the economy** found in the catalog.

Mathematical models of the economy

Stone, Richard

- 207 Want to read
- 32 Currently reading

Published
**1970**
by Chapman & Hall in London
.

Written in

- Economics -- Mathematical models,
- National income -- Accounting

**Edition Notes**

Bibliography: p. [330]-335.

Classifications | |
---|---|

LC Classifications | HB74.M3 S735 |

The Physical Object | |

Pagination | xv, 335, [2] p., (2 fold.) |

Number of Pages | 335 |

ID Numbers | |

Open Library | OL4684471M |

ISBN 10 | 0412100304 |

LC Control Number | 77576061 |

The book explains the numerous behavioral and mathematical models of economic psychology related to micro- and macroeconomic phenomena that have been proposed in the past, and introduces new models that are useful to explain human economic behaviors. The unifying theme of the book is the use of mathematical models and optimization methods to describe age-structured populations in economy, demography, technological change, and the environment. Emphasis is placed on deterministic dynamic models that take age or size structures, delay effects, and non-standard decision variables into account.

Jorge Garza-Ulloa, in Applied Biomechatronics using Mathematical Models, Abstract. Mathematical models for kinematics, kinetics, and muscles potentials activities from sEMG based on traditional statistical analysis are developed using different methods for data analysis, where each model is represented using a structure with a linear dynamic form, explicit and discrete, that can be. Mathematical Methods for Economic Analysis∗ Paul Schweinzer School of Economics, Statistics and Mathematics Birkbeck College, University of London Gresse Street, London W1T 1LL, UK Email: nzer@ Tel: , Fax:

Economic Models and Math. Economists use models as the primary tool for explaining or making predictions about economic issues and problems. For example, an economist might try to explain what caused the Great Recession in , or she might try to predict how a personal income tax cut would affect automobile purchases. Find a huge variety of new & used Economics Mathematical books online including bestsellers & rare titles at the best prices. Shop Economics Mathematical books at Alibris. Theory of games and economic John Von Neumann, Oskar Morgenstern Buy from $ Mathematics for Economics. Michael Hoy, John Livernois Buy from $

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Mathematical economics is the application of mathematical methods to represent theories and analyze problems in convention, these applied methods are beyond simple geometry, such as differential and integral calculus, difference and differential equations, matrix algebra, mathematical programming, and other computational methods.

Mathematical models of the economy: And other essays Hardcover – January 1, by Richard Stone (Author) › Visit Amazon's Richard Stone Page. Find all the books, read about the author, and more. See search results for this author. Are you an author.

Author: Stone, Richard, Sir. “‘Mathematical Methods and Models in Economic Planning, Management and Budgeting (Second Edition)’ is a work of great breath that describes a set of mathematical models and methods useful to analyze real economic and managerial decisions, aiming to give a great support to their effectiveness.

an outstanding work, indispensable for economists, mathematical economists, and members of Cited by: 1. Mathematical economics opened the door for true economic modeling. Through the language of mathematics, theoretical economic models have turned into useful tools for everyday economic policymaking.

The book is an illuminating study based on an applied mathematical model which uses methods such as linear programming and input-output analysis. Moreover, this work demonstrates the author’s great insight and academic brilliance in the fields of finance, technological innovations and marketing vis-à-vis the market : Springer-Verlag Berlin Heidelberg.

A mathematical model is a description of a system using mathematical concepts and process of developing a mathematical model is termed mathematical atical models are used in the natural sciences (such as physics, biology, earth science, chemistry) and engineering disciplines (such as computer science, electrical engineering), as well as in the social sciences (such.

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III - Mathematical Models in Economics - Alfredo Medio ©Encyclopedia of Life Support Systems(EOLSS) economics of some of these methods can be found in two recent books on complexity in economic systems, namely: Albin () and Colander ().) Moreover, we will.

Publisher Summary. This chapter discusses the application of stochastic analysis in economic models based on a few fundamental considerations. It focuses on the need for operational presentation of the mathematical results in stochastic processes, stochastic control, and stochastic programming that have actual or potential usefulness in economic models.

ISBN: OCLC Number: Description: xv,[2] pages (2 folded) illustrations 24 cm: Contents: Mathematical models of the economy --Our unstable economy: can planning succeed?--Foreign trade and full employment: an input-output analysis --Consistent projections in multi-sector models --Input-output projections: consistent prices and quantity structures.

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A model may have various exogenous variables, and those. Principles of Mathematical Economics. The objective of this book is to provide an introduction to mathematical economics for first year graduate and senior undergraduate students.

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Macroeconomics: Theory, Markets, and Policy provides complete, concise coverage of introductory macroeconomics theory and policy. It examines the Canadian economy as an economic system, and embeds current Canadian institutions and approaches to monetary policy and fiscal policy within that system.

This book provides a practitioner's foundation for the process of explanatory model building that deconstructs the process into five stages. The combination of a focus on modeling and on mathematics, along with a focus on the explanatory performance of modeling, promises to become an important contribution to the field.5/5(1).