This paper compares the results of applying several detrending methods to the Chilean monthly economic activity index (IMACEC) using real-time data sets. We show that data revisions are extremely important and that they can lead to systematically inconsistent estimates of the trend component. Furthermore, most of the filters commonly used to detrend time series in practice, are highly unstable and unreliable for end-of-sample estimation.
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Article provided by University of Chile, Department of Economics in its journal Estudios de Economia.
Volume (Year): 29 (2002) Issue (Month): 2 Year 2002 (December) Pages: 211-229 Download reference. The following formats are available: HTML
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Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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