A NEURAL NETWORK AND ECONOMETRIC COMPARISON OF THE RELATIVE IMPORTANCE OF FISCAL AND MONETARY ACTIONS
Mohamad Shaaf
(Professor of Economics, University of Central Oklahoma, Edmond, Oklahoma.)
178
Abstract
This study uses the neural network and econometric models to explore the importance of fiscal and monetary policy on GNP. The findings suggest that fiscal policy is more influential than monetary policy, and the neural network forecasts of GNP are more accurate and have less variation than those of the econometric approach.
Citation
Shaaf, M. (1996), "A NEURAL NETWORK AND ECONOMETRIC COMPARISON OF THE RELATIVE IMPORTANCE OF FISCAL AND MONETARY ACTIONS", Studies in Economics and Finance, Vol. 17 No. 1, pp. 69-87. https://doi.org/10.1108/eb028727
Publisher
:MCB UP Ltd
Copyright © 1996, MCB UP Limited