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Soyer and Hogarth's article, 'The Illusion of Predictability,' shows that diagnostic statistics that are commonly provided with regression analysis lead to confusion, reduced accuracy, and overconfidence. Even highly competent researchers are subject to these problems. This overview examines the...
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Many researchers appear to operate under the impression that causal models lead to more accurate forecasts than those provided by naive models (or “projections”). This study was based on the premise that causal models lead to better forecasts than do naive models in certain situations. The...
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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...
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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...
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Corporate cultural emphasis on long-term competitiveness as opposed to shorter-term rofitability is evaluated in terms of effectiveness in achieving higher profit margins, real profitability, and survival in the long term. Competitive orientation continues to have adverse impact even with a lag...
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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...
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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...
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