This paper reports real-time out-of-sample tests of the ability of the U.S. Index Leading Economic Indicators (LEI) to forecast the economy using "composition-changing" "as-published" versions of the LEI. It is an extension of recent work that focused on forecasts with a "composition-constant" LEI. The results demonstrate that the LEI helps forecasts and compositional change in the LEI does not account for poor real-time out-of-sample forecast performance found in earlier work. Reviews of the historical record reinforce the findings.
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Length: 32 pages Date of creation: Jun 2003 Date of revision: Publication status: Published in Journal of Business Cycle Measurement and Analysis, Vol. 1, No. 2, June 2004, pages 171-92. Handle: RePEc:cnf:wpaper:0304
Find related papers by JEL classification: E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
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