The Contribution of Economic Indicator Analysis to Understanding and Forecasting Business Cycles
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.
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- 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 864-88, September.
- David K. Backus & Patrick J. Kehoe, 1992. "International Evidence on the Historical Properties of Business Cycles," Working Papers 92-5, New York University, Leonard N. Stern School of Business, Department of Economics.
- David K. Backus & Patrick J. Kehoe, 1991. "International evidence on the historical properties of business cycles," Staff Report 145, Federal Reserve Bank of Minneapolis.
- Andreou, Elena & Osborn, Denise R & Sensier, Marianne, 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, Special I.
- 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 589-95, November.
- 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.
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