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Election Forecasting for Turbulent Times

Published online by Cambridge University Press:  27 September 2012

Michael S. Lewis-Beck
Affiliation:
University of Iowa
Charles Tien
Affiliation:
Hunter College and The Graduate Center, CUNY

Extract

Election forecasters face increasing turbulence in their relevant environments,making predictions more uncertain, or at least apparently so. For US presidentialcontests, economic performance and candidate profiles are central variables in moststatistical models. These variables have exhibited large swings recently. Before the2008 US presidential election, the economy fell into a Great Recession, and thecandidate of one of the two major parties was, for the first time, a black man.These unprecedented conditions were trumpeted in the media, with heightened frenzyover the “horse race” question of who was going to win the White House. In thepress, many forecasts appeared, taking different forms—polls, models, markets,pundits, to name some—offering a broader range of possible outcomes than everbefore. Just looking at the predictions of the statistical modelers alone, we findthat for 2008 many teams offered estimates of the incumbent (Republican) vote,ranging over an 11 percentage point spread. At one extreme, Lockerbie (2008) forecast 41.8% while at the otherextreme Campbell (2008) forecast 52.7%. Ofcourse, other methodologists offered their own, different, forecasts. The media, inits various forms, added to the hyperbole, aggressively reporting differentforecasts on an almost daily basis.

Type
Symposium: Forecasting the 2012 American National Elections
Copyright
Copyright © American Political Science Association 2012 

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