Forecasting with the Index of Leading Indicators
AbstractThe composite index of leading indicators is found to be a valuable tool for predicting not only the direction but also the size of near- term changes in aggregate economic activity. This conclusion is based on assessments of the leading index as a predictor of (1) business cycle turning points as dated by the National Bureau of Economic Research and (2) quantitative changes in real GNP and the composite index of coincident indicators. Specific smoothing rules are identified which reduce the frequency of false signals but still provide adequate early warning of cyclical turning points. Simple regression models based on first differences in the logarithms produce a comparatively good record of forecasts one and two quarters ahead. The best results are obtained by using predictive chains whereby, e.g., quarterly changes in the lagging index (inverted) for Q[sub t] are used to forecast changes in the leading index in quarter Q which in turn are used to forecast changes in real GNP (or the coincident index) in Q[sub t+2].
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 0244.
Date of creation: May 1978
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- Vojtech Benda & Lubos Ruzicka, 2007. "Short-term Forecasting Methods Based on the LEI Approach: The Case of the Czech Republic," Research and Policy Notes 2007/01, Czech National Bank, Research Department.
- James H. Stock & Mark W. Watson, 1988. "A Probability Model of The Coincident Economic Indicators," NBER Working Papers 2772, National Bureau of Economic Research, Inc.
- Rafal Kasperowicz, 2010. "Identification of Industrial Cycle Leading Indicators Using Causality Test," Equilibrium, Uniwersytet Mikolaja Kopernika, vol. 2, pages 47-59.
- Victor Zarnowitz, 1986. "The Record and Improvability of Economic Forecasting," NBER Working Papers 2099, National Bureau of Economic Research, Inc.
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