ABSTRACT
For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics.
A student-friendly approach to understanding forecasting.
Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.
TABLE OF CONTENTS
part 1|78 pages
Statistics and Time Series
part 2|258 pages
Modeling Linear Dependence Forecasting with Time Series Models
part 3|110 pages
Modeling More Complex Dependence