Temporal Horizons and Presidential Election Forecasts

Volume: 24, Issue: 4, Pages: 492 - 505
Published: Oct 1, 1996
Abstract
In this article we present a simple forecasting model that has been successful at predicting past presidential elections. The two variables included in the model are cumulative per capita income growth and presidential approval. These "fundamental" variables predict the vote especially well when measured shortly in advance of the election, when the outcome is already becoming clear in the polls. Their predictive power drops quite quickly as one...
Paper Details
Title
Temporal Horizons and Presidential Election Forecasts
Published Date
Oct 1, 1996
Volume
24
Issue
4
Pages
492 - 505
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