Stressing the concrete applications of economic forecasting, Practical
Business Forecasting is accessible to a wide-range of readers, requiring only a
familiarity with basic statistics. The text focuses on the use of models in
forecasting, explaining how to build practical forecasting models that produce optimal
results. In a clear and detailed format, the text covers estimating and forecasting with
single and multi- equation models, univariate time-series modeling, and determining
forecasting accuracy.
Additionally, case studies throughout the book illustrate how the models are actually
estimated and adjusted to generate accurate forecasts. After reading this text, students
and readers should have a clearer idea of the reasoning and choices involved in building
models, and a deeper foundation in estimating econometric models used in practical
business forecasting.
Dr. Michael K. Evans formerly taught at the Kellogg School at
Northwestern University. Since 1981 has headed Evans, Carroll & Associates (formerly
Evans Economics), and has generated thousands of forecasts at the macroeconomic,
financial, industry, and individual company level. He was awarded the Annual Blue Chip
Economic Forecasting Award in 1999 for the most accurate macroeconomic forecasts over the
past four years.
Contents
Part I: Choosing the Right Type of Forecasting Model.
Part II: Useful Tools for Practical Business Forecasting.
Part III: The General Linear Regression Model.
Part IV: Additional Topics for Single-Equation Regression Models.
Part V: Forecasting with a Single-Equation Regression Model.
Part VI: Elements Of Univariate Time-Series Methods.
Part VII: Univariate Time Series Modeling and Forecasting.
Part VIII: Combining Forecasts.
Part IX: Building and Presenting Short-Term Sales Forecasting Models.
Part X: Methods of Long-Term Forecasting.
Part XI: Simultaneous Equation Models.
Part XII: Alternative Methods of Macroeconomic Forecasting.
Paperback, 528 pages