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The Contribution of Economic Indicator Analysis to Understanding and Forecasting Business Cycles

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  • Ernst A. Boehm

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne and Economic Cycle Research Institute, New York)

Abstract

This paper reviews major features of the development of economic indicator analysis (EIA), notably its contribution to identifying, understanding, explaining and forecasting business cycles. The paper highlights the substantial pioneering role of Dr Geoffrey H. Moore in this development. The paper reviews some key issues regarding the selection and classification of economic indicators; and the methodologies developed to use these indicators to identify and measure business cycles on national, regional and sectoral bases. After making an overall assessment of EIA, acknowledgement is given to the widespread development and applications of EIA around the world to study the co-movements of key economic variables and to forshadow changes in them.

Suggested Citation

  • Ernst A. Boehm, 2001. "The Contribution of Economic Indicator Analysis to Understanding and Forecasting Business Cycles," Melbourne Institute Working Paper Series wp2001n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    • Handle: RePEc:iae:iaewps:wp2001n17
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    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2001n17.pdf
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    References listed on IDEAS

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    1. Backus, David K & Kehoe, Patrick J, 1992. "International Evidence of the Historical Properties of Business Cycles," American Economic Review, American Economic Association, vol. 82(4), pages 864-888, September.
    2. Blackburn, Keith & Ravn, Morten O, 1992. "Business Cycles in the United Kingdom: Facts and Fictions," Economica, London School of Economics and Political Science, vol. 59(236), pages 383-401, November.
    3. Auerbach, Alan J, 1982. "The Index of Leading Indicators: "Measurement without Theory," Thirty-Five Years Later," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 589-595, November.
    4. Elena Andreou & Denise R. Osborn & Marianne Sensier, 2000. "A Comparison of the Statistical Properties of Financial Variables in the USA, UK and Germany over the Business Cycle," Manchester School, University of Manchester, vol. 68(4), pages 396-418, June.
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    Cited by:

    1. Ying Liu & Yibing Chen & Sheng Wu & Geng Peng & Benfu Lv, 2015. "Composite leading search index: a preprocessing method of internet search data for stock trends prediction," Annals of Operations Research, Springer, vol. 234(1), pages 77-94, November.
    2. Sumanpreet Kaur, 2019. "An Attempt to Predict Recession for the Indian Economy Using Leading Indicators," Asian Development Policy Review, Asian Economic and Social Society, vol. 7(3), pages 171-190, September.
    3. Rafal Kasperowicz, 2010. "Identification Of Industrial Cycle Leading Indicators Using Causality Test," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 5(2), pages 47-59, December.
    4. Arie Marom & Yigal Menashe & Tanya Suchoy, 2003. "The State-of-The-Economy Index and The probability of Recession: The Markov Regime-Switching Model," Bank of Israel Working Papers 2003.05, Bank of Israel.

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