This is a fully revised edition of the successful text, Introductory Mathematics for Economists. Updated throughout, it covers the essential mathematics required by students of economics and business. The emphasis is on applying mathematics rather than providing theorems, and a wide range of applications are covered with detailed answers provided for many of the exercises.
The book is structured, and the material deliberately selected, to increase in difficulty as the book progresses. Subjects covered include: algebra; linear equations, with immediate applications in simple economic models of markets and the national economy; natural generalizations of elementary matrix algebra and non-linear equations; applications in finance; the groundwork for calculus; profit maximization for a firm, simple inventory models, and other applications of marginal concepts; integration covering both standard analytical techniques and numerical methods; partial differentiation; linear programming; and dynamic relationships in continuous terms and in discrete terms. Three appendices provide extensive treatment of trigonometric functions, an introduction to set theory, and detailed answers to all exercises provided.

This book provides an introduction to the methods employed in forecasting the future state of the economy. It provides a comprehensive coverage of methods and applications in this fast-growing area and is intended for use in postgraduate and upper-level undergraduate courses. Part I outlines the available techniques, particularly those used in business forecasting and econometric forecasting. The state of the art in time series modelling is reviewed and includes a discussion of Box-Jenkins models, the vector autogressive approach and cointegration. Ways of combining forecasts are also examined in detail. Part II considers the most important applications of forecasting. Applications in microeconomics include demand and sales forecasting, the use of anticipations data, leading indicators and scenario analysis. In macroeconomics the emphasis is on why errors occur in forecasting asset market prices, including implications of the efficient markets hypothesis for foreign markets, stock market prices and commodity market prices. The book ends with a discussion of the appropriateness of various techniques, recent developments in forecasting, and the links between economic forecasting and government policy.