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Detrending Time-Aggregated Data

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  • David Aadland

Abstract

This paper examines the combined influences of detrending and time aggregation on the measurement of business cycles. The approximate and-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.

Suggested Citation

  • David Aadland, 2002. "Detrending Time-Aggregated Data," Working Papers 2002-05, Utah State University, Department of Economics.
    • Handle: RePEc:usu:wpaper:2002-05
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    Cited by:

    1. 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.
    2. Stefanescu, Răzvan & Dumitriu, Ramona, 2017. "Ajustarea seriilor de timp financiare,Partea întâi [Smoothing of financial time series, Part 1]," MPRA Paper 78329, University Library of Munich, Germany, revised 15 Apr 2017.
    3. Hakkı Kutay Bolkol, 2015. "Causal Relationship between Construction Production and GDP in Turkey," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 4(3), pages 42-53, July.
    4. 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.
    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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