
Economists' Mathematical Manual
Springer (Publisher)
3rd Edition
Published on 14. November 2014
Book
Paperback/Softback
XI, 206 pages
978-3-662-03994-6 (ISBN)
Description
This volume presents mathematical formulas and theorems common to economics. It includes both formulas like Roy`s identity that are peculiar to economics and formulas like Leibniz's rule that are common to many areas of applied mathematics. The volume is meant to be a reference work, to be used by students in conjunction with a textbook and by researchers in need of exact statements of mathematical results. The volume is the first grouping of this material for a specifically economist audience. This third edition is extensively revised and contains more than 250 new formulas, as well as new figures.
More details
Edition
3., rd ed.
Language
English
Place of publication
Berlin
Germany
Target group
Professional and scholarly
Research
Dimensions
Height: 23.5 cm
Width: 15.5 cm
ISBN-13
978-3-662-03994-6 (9783662039946)
DOI
10.1007/978-3-662-03995-3
Schweitzer Classification
Other editions
Previous edition

Peter Berck | Knut Sydsaeter
Economists' Mathematical Manual
Book
02/1993
2nd Edition
Springer
€85.59
Article exhausted; check for reprint
Content
Set Theory. Relations. Functions.- Equations. Functions of one variable. Complex numbers.- Limits. Continuity. Differentiation (one variable).- Partial derivatives.- Elasticities. Elasticities of substitution.- Systems of equations.- Inequalities.- Series. Taylor's formula.- Integration.- Difference equations.- Differetnial equations.- Topology in Euclidean space.- Convexity.- Classical optimization.- Linear and nonlinear programming.- Calculus of variations and optimal control theory.- Discrete dynamic optimization.- Vectors in Rn. Abstract spaces.- Matrices.- Determinants.- Eigenvalues. Quadratic forms.- Special matrices. Leontief systems.- Kronecker products and the vec operator. Differentiation of vectors and matrices.- Comparative statics.- Properties of cost and profit functions.- Consumer theory.- Topics from finance and growth theory.- Risk and risk aversion theory.- Finance and stochastic calculus.- Non-cooperative game theory.- Probability and statistics.- Probability distributions. Method of least squares.