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
