A survey of business and economics forecasting methods, this text focuses on the core techniques of widest applicability and assumes only an elementary background in statistics. It is applications-oriented and illustrates all methods with detailed examples and case studies.

Elements of Forecasting is a concise, modern survey of business and economics forecasting methods. Written by a leading expert on forecasting, it focuses on the core techniques of widest applicability and assumes only an elementary background in statistics. It is applications-oriented and illustrates all methods with detailed examples and case studies. -- Covers standard material (trend, seasonality, cycles) as well as more modern topics such as model selection, volatility models, unit roots and stochastic trends, vector autoregressions, and cointegration -- Highly applications-oriented, and numerous detailed real-world examples chosen from a variety of fields (including economics, economics, public policy, and engineering) to illustrate all methods. -- Integrates modern modeling and forecasting software, using Eviews output throughout to illustrate concepts. All the data analyzed is included on a disk packaged with the book -- Drives home the limits of forecasting through realistic examples in which not everything works perfectly

Part I Getting started: introduction to forecasting - applications, methods, books, journals, and software
six considerations basic to successful forecasting. Part II Building, using and evaluating forecasting models. (Part contents),