A NEURAL NETWORK AND ECONOMETRIC COMPARISON OF THE RELATIVE IMPORTANCE OF FISCAL AND MONETARY ACTIONS

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