| Article ID: | iaor19982395 |
| Country: | Netherlands |
| Volume: | 89 |
| Issue: | 3 |
| Start Page Number: | 581 |
| End Page Number: | 592 |
| Publication Date: | Mar 1996 |
| Journal: | European Journal of Operational Research |
| Authors: | Wang Shouhong |
| Keywords: | economics |
Neural networks have received a great deal of attention from many researchers. One of the advantages of neural networks is their ability to generalize from real world data. This paper proposes a neural network approach to nonparametric econometric modelling. A real-life-data example of modelling an expenditure system shows the use of the proposed neural network method in nonparametric modelling.