Fildes, Hibon, Makridakis and Meade (1998), which will be referred to as FHMM, extends two important published papers. The idea of taking findings from each study and testing them against the data used in the other study is a good one. Such replications and extensions are important in the effort...

Interesting and difficult sales forecasting problems are common. Will the 1998 Volkswagen Beetle be a success? Will the Philadelphia Convention Hall be profitable? How will our major competitors respond if we raise the price of our product by 10 per cent? What if we cut advertising by 20 per cent?

Problem: How to help practitioners, academics, and decision makers use experimental research findings to substantially reduce forecast errors for all types of forecasting problems. Methods: Findings from our review of forecasting experiments were used to identify methods and principles that lead...

We assess how the PollyVote and its components performed in this election compared to the previous six (1992 to 2012). While always predicting that Hillary Clinton would win the popular vote, across the 100 days leading to the election on average the PollyVote overshot the mark by 1.9 percentage...

Forecasting is concerned with making statements about the as yet unknown. There are many ways that people go about deriving forecasts. This entry is concerned primarily with procedures that have performed well in empirical studies that contrast the accuracy of alternative methods.Evidence about...

The field of forecasting is concerned with making statements about matters that are currently unknown. The terms "forecast," "prediction," "projections," and "prognosis" are interchangeable as commonly used. Forecasting is also concerned with the effective presentation and use of forecasts

When the beach patrol raises the alarm that a shark has been sighted we know what to do, but how should we respond to an alarm that is based on predictions of what will happen 100 years from now and the person raising the alarm tells us we must make great sacrifices now to avoid the predicted...

In recent decades, much comparative testing has been conducted to determine which forecasting methods are more effective under given conditions. This evidence-based approach leads to conclusions that differ substantially from current practice. This paper summarizes the primary findings on what...

The assumptions of multiple regression analysis are not met in many practical forecasting situations and, as a result, regression models are insufficiently conservative. We tested the effect on forecast accuracy of applying three evidence-based forecasting guidelines to 18 political economy...

Problem: Most forecasting practitioners are unaware of discoveries from experimental research over the past half-century that can be used to reduce errors, often by more than half. The objective of this paper is to improve forecasting accuracy by providing evidence-based methods and principles...