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Detrending time-aggregated data

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  • Aadland, David

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This paper examines the combined influences of detrending and time aggregation on the measurement of business cycles. The approximate band- pass filter of Baxter and King (1999) performs relatively well in the sense that it retains the basic shape of disaggregate spectra and cospectra when applied to time aggregated data and is straightforward to apply across sampling intervals. Analysis of known time series processes and actual U.S. macro data, as well as simulation of a standard high- frequency RBC model, confirm the theoretical results.
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  • Aadland, David, 2005. "Detrending time-aggregated data," Economics Letters, Elsevier, vol. 89(3), pages 287-293, December.
  • Handle: RePEc:eee:ecolet:v:89:y:2005:i:3:p:287-293
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    2. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 25-48, September.
    3. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Post-Print hal-01701122, HAL.
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    5. Sella Lisa, 2008. "Old and New Spectral Techniques for Economic Time Series," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200809, University of Turin.
    6. Stefanescu, Răzvan & Dumitriu, Ramona, 2016. "Statistica descriptivă a seriilor de timp financiare [Descriptive statistics of the financial time series]," MPRA Paper 72268, University Library of Munich, Germany.

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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