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Unobserved Components in Economic Time Series

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Author Info
Agustín Maravall
Abstract

The paper contains some implications for applied econometric research. Two important ones are, first, that invertible models, such as AR or VAR models, cannot in general be used to model seasonally adjusted or detrended data. The second one is that to look at the business cycle in detrended series that are seasonally adjusted is a misleading procedure, since detrending plus seasonal adjustment will always induce a non-trivial spectral peak for a cyclical frequency.

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Publisher Info
Paper provided by Banco de España in its series Banco de España Working Papers with number 9609.

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Length: 65 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:bde:wpaper:9609

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Related research
Keywords: TIME SERIES; ECONOMETRICS; BUSINESS CYCLES;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

Cited by:
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  1. Athanasios Orphanides & Simon Van_Norden, 2000. "The Reliability of Output Gap Estimates in Real Time," Econometric Society World Congress 2000 Contributed Papers 0768, Econometric Society. [Downloadable!]
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This page was last updated on 2009-11-10.


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