| Sumario: | The article examines how economists used computer programming to predict the results of the 2012 U.S. presidential election, which was won by U.S. President Barack Obama. Justin Wolfers of the University of Michigan describes several forecasting methods that were used which incorporate data such as gross domestic product (GDP) growth, public opinion polls, and stock market prices. Particular attention is given to the lack of using big data, a term used for large information sets. Patrick Hummel, a research scientist at Internet corporation Google, describes how he used simple linear regression to predict the election.
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