Practical Business Forecasting

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.Content:
Chapter 1 Choosing the Right Type of Forecasting Model (pages 1–28):
Chapter 2 Useful Tools for Practical Business Forecasting (pages 29–63):
Chapter 3 The General Linear Regression Model (pages 66–99):
Chapter 4 Additional Topics for Single?Equation Regression Models (pages 100–144):
Chapter 5 Forecasting with A Single?Equation Regression Model (pages 145–183):
Chapter 6 Elements of Univariate Time?Series Methods (pages 185–224):
Chapter 7 Univariate Time?Series Modeling and Forecasting (pages 225–269):
Chapter 8 Combining Forecasts (pages 272–310):
Chapter 9 Building and Presenting Short?Term Sales Forecasting Models (pages 311–354):
Chapter 10 Methods of Long?Term Forecasting (pages 355–400):
Chapter 11 Simultaneous?Equation Models (pages 401–442):
Chapter 12 Alternative Methods of Macroeconomic Forecasting (pages 443–483):