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Evaluation of the Australian Industry Group / PricewaterhouseCoopers - Performance of Manufacturing Index (Ai-PMI)

Author

Listed:
  • Harding, Don
  • Song, Lei Lei
  • Tran, Duy

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.

Suggested Citation

  • Harding, Don & Song, Lei Lei & Tran, Duy, 2001. "Evaluation of the Australian Industry Group / PricewaterhouseCoopers - Performance of Manufacturing Index (Ai-PMI)," MPRA Paper 3697, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:3697
    as

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    File URL: https://mpra.ub.uni-muenchen.de/3697/1/MPRA_paper_3697.pdf
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    References listed on IDEAS

    as
    1. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    2. Ernst. A. Boehm & Geoffrey H. Moore, 1984. "New Economic Indicators for Australia, 1949‐84," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 17(4), pages 34-56, December.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Chindamo, Phillip, 2012. "Developing a composite index of economic activity for Australia," MPRA Paper 36045, University Library of Munich, Germany.

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    More about this item

    Keywords

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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