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Forecasting cyclical turning points with an index of leading indicators: A probabilistic approach

โœ Scribed by Nader Nazmi


Publisher
John Wiley and Sons
Year
1993
Tongue
English
Weight
677 KB
Volume
12
Category
Article
ISSN
0277-6693

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โœฆ Synopsis


Abstract

In this paper the econometrics of latent variables in conjunction with leading economic indicators are used to predict turning points of the US industrial production variable for various forecasting horizons. The results reported here show that leading indicators used in regression models with a dichotomous dependent variable that marks periods of economic expansion and contraction forecast business cycle turning points accurately. Leading indicators produce the most reliable forecasts of turning points five months prior to cyclical changes and do not give any false signals. Moreover, the weights assigned to leading indicators for producing the index vary as the forecast horizon changes.


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## Abstract There is considerable interest in the index of industrial production (IIP) as an indicator of the state of the UK's industrial base and, more generally, as a leading economic indicator. However, this index, in common with a number of key macroeconomic time series, is subject to revision