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To improve their predictions, election forecasters should look to other disciplines like meteorology

Lewis-Beck, Michael S. and Stegmaier, Mary (2014) To improve their predictions, election forecasters should look to other disciplines like meteorology. LSE American Politics and Policy (17 Apr 2014). Website.

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Abstract

The recent surge in public attention to election predictions has generated much discussion about how to improve forecasting model accuracy. Michael S. Lewis-Beck and Mary Stegmaier argue that advances in weather forecasting hold lessons for election forecasting. First, like weather models, election models should be based on sound theory. Second, more intensive data gathering, especially at the state level with repeated measurements over time, will capture the dynamics of the campaign and ultimately enhance the accuracy of predictions. Third, ensemble forecasting and applying expertise to adjust forecasts are other methods to consider for reducing forecast error.

Item Type: Online resource (Website)
Official URL: http://blogs.lse.ac.uk/usappblog/
Additional Information: © 2014 The Authors; Online
Divisions: LSE
Subjects: H Social Sciences > H Social Sciences (General)
Sets: Collections > LSE American Politics and Policy (USAPP) Blog
Date Deposited: 11 Aug 2014 15:29
Last Modified: 23 Aug 2020 23:11
URI: http://eprints.lse.ac.uk/id/eprint/58865

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