Harding, Don and Song, Lei Lei and Tran, Duy (2001): Evaluation of the Australian Industry Group / PricewaterhouseCoopers - Performance of Manufacturing Index (Ai-PMI).
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Abstract
The purpose of this paper is to evaluate the Australian Industry Group / PricewaterhouseCoopers Performance of Manufacturing Index (Ai-PMI) as a tool for analysis. Particular interest focuses on the issue of how useful it is as an early signal of Australian business cycle turning points.
Item Type: | MPRA Paper |
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Institution: | The University of Melbourne |
Original Title: | Evaluation of the Australian Industry Group / PricewaterhouseCoopers - Performance of Manufacturing Index (Ai-PMI) |
Language: | English |
Keywords: | Business cycle; leading index |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications |
Item ID: | 3697 |
Depositing User: | Don Harding |
Date Deposited: | 24 Jun 2007 |
Last Modified: | 26 Sep 2019 19:04 |
References: | Boehm, E. and Moore, G.H. (1984) “New Economic Indicators for Australia, 1949-84”, Australian Economic Review, 4th Quarter, 34-56. Boehm, E. and Summers, P. (1999) Analysing and Forecasting Business Cycles with the Aid of Economic Indicators, Melbourne Institute of Applied Economic and Social Research, Working Paper No. 18/99. Forni, M., Hallin, M., Lippi, M. and Reichlin, L. (2000) “The Generalised Factor Model: Identification and Estimation”, Review of Economic and Statistics, 82(4), 540-554. Forni, M. and Lippi, M. (2000) “The Generalised Factor Model: Representation Theory”, Econometric Theory, forthcoming. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/3697 |