Composite economic indicator is a very useful tool designed to trace and predict the business cycle conditions. In this paper we study possible extensions of this approach intended to cope with the potential data problems caused by various structural breaks affecting both level and volatility of the component series. The structural shifts are introduced in the composite economic indicator model via deterministic dummies capturing breaks in the observed variablesÕintercepts and in the residual variances of the specific factors. As an illustration the Post-World War II US monthly macroeconomic series are utilized for which different specifications of the single-factor linear and regime-switching model are evaluated.
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Find related papers by JEL classification: C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics C5 - Mathematical and Quantitative Methods - - Econometric Modeling E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
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