The application of neural networks to the Divisia index debate: Evidence from three countries

Applied Economics

Volumn 32, Issue 12, 2000, Pages 1607-1615

  Gazely, A M ^a   Binner, J M ^a  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

INFLATION; MACROECONOMICS; METHODOLOGY; MONETARY POLICY;

ITALY; UNITED KINGDOM; UNITED STATES;

EID: 0033795458     PISSN: 00036846     EISSN: None     Source Type: Journal    
DOI: 10.1080/000368400418998     Document Type: Article

References (21)

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5. Consumer theory and the demand for money
6. Measurement matters: Recent results from monetary economics reexamined
7. Exact and superlative index numbers
8. Superlative index numbers and consistency in aggregation
9. Neural networks with Divisia money: Better forecasts of future inflation?
10. Weighted monetary aggregates for the UK
11. One Divisia money for Europe
12. Measuring money with a Divisia index: An application to Italy
13. Better forecasts of future inflation? The neural network approach
14. Unit roots in macroeconomic time series: Some critical issues
15. To conclude: Keep inflation low, and, in principle, eliminate it
16. Neural network applications in financial asset management
17. Monetary integration and currency substitution in the EMS: The case for a European monetary aggregate
18. The non-parametric approach to demand analysis