A new approach to dating and predicting Australian business cycle phase changes

Applied Economics

Volumn 29, Issue 7, 1997, Pages 861-868

  Layton, Allan P ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001502890     PISSN: 00036846     EISSN: None     Source Type: Journal    
DOI: 10.1080/000368497326516     Document Type: Article

References (9)

1. Bry, G. and Boschan, C. (1971) Cyclical Analysis of Time Series: Selected Procedures and Computer Programs. Technical Paper 20, NBER, Columbia University Press.
2. Burns, A. F. and Mitchell, W. C. (1946) Measuring Business Cycles. NBER Studies in Business Cycles No. 2, Columbia University Press, New York.
3. Campbell, J. Y. and Mankiw, N. G. (1987) Are output fluctuations transitory. Quarterly Journal of Economics, 102, 857-80.
4. Hamilton, J. (1989) A new approach to the analysis of time series and the business cycle. Econometrica, 57, 357-84.
5. Hamilton, J. (1990) Long swings in the dollar. Are they in the data and do markets know it? American Economic Review, 80, 689-713.
6. Hamilton, J. (1991) A quasi-Bayesian approach to estimating parameters for mixtures of normal distributions, Journal of Business and Economic Statistics, 9, 27-39.
7. Layton, A. P. (1994) Further on the nature of the Australian business cycle. The Economic Record, 70, 12-18.
8. Moore, G. H. (1983) Business Cycles, Inflation, and Forecasting, 2nd edition, Ballinger, Cambridge, MA.
9. Nelson, C. R. and Plosser C. I. (1982) Trends and random walks in macroeconomic time series, Journal of Monetary Economics, 10, 139-62.