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The Rationality Of Economic Voting Revisited, Motoshi Suzuki, Henry W. Chappell
The Rationality Of Economic Voting Revisited, Motoshi Suzuki, Henry W. Chappell
Faculty Publications
Examines the rationality of economic voting, using post-World War II United States national election data.
A Neural Network To Predict Civilian Unemployment Rates, Milam Aiken
A Neural Network To Predict Civilian Unemployment Rates, Milam Aiken
Journal of International Information Management
Forecasting national unemployment is one of the most important problems of modern economies, and most researchers have relied upon statistical techniques with their stringent data assumptions and low accuracy rates to predict changes in this macroeconomic data. This paper describes how a neural network using leading economic indicator data can help to predict civilian unemployment rates. Results show that the neural network provides superior estimates of rates one month into the future compared to multi-linear regression and two naive forecasting techniques.