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Baker, Bruce D.; Richards, Craig E. – Economics of Education Review, 1999
Applies neural network methods for forecasting 1991-95 per-pupil expenditures in U.S. public elementary and secondary schools. Forecasting models included the National Center for Education Statistics' multivariate regression model and three neural architectures. Regarding prediction accuracy, neural network results were comparable or superior to…
Descriptors: Algorithms, Econometrics, Elementary Secondary Education, Expenditure per Student