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Output gaps and the New Keynesian Phillips curve: An application of the Empirical Mode Decomposition

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  • Ya-Wen Lai

    (Department of Finance, National Formosa University, Taiwan)

Abstract

The output gap is a useful guide for economic slack and inflation dynamics. This paper employs a newly developed filtering approach called empirical mode decomposition to measure the output gap and examines the empirical validity of the New Keynesian Phillips curves (NKPC) using this output gap measure. First, the cyclical events as identified by the National Bureau of Economic Research (NBER) are evident in the output gap. Second, I obtain significant parameter estimates of the sign predicted by the NKPC theory. The output gap also outperforms the labor income share and the output growth as the proxy for economic activity.

Suggested Citation

  • Ya-Wen Lai, 2017. "Output gaps and the New Keynesian Phillips curve: An application of the Empirical Mode Decomposition," Economics Bulletin, AccessEcon, vol. 37(2), pages 952-961.
    • Handle: RePEc:ebl:ecbull:eb-16-00665
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    References listed on IDEAS

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    1. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    2. Mazumder, Sandeep, 2010. "The new Keynesian Phillips curve and the cyclicality of marginal cost," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 747-765, September.
    3. Kožić, Ivan & Sever, Ivan, 2014. "Measuring business cycles: Empirical Mode Decomposition of economic time series," Economics Letters, Elsevier, vol. 123(3), pages 287-290.
    4. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    5. Qiuling Hua & Tingfeng Jiang, 2015. "The prediction for London gold price: improved empirical mode decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 22(17), pages 1404-1408, November.
    6. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    7. Jeremy Rudd & Karl Whelan, 2007. "Modeling Inflation Dynamics: A Critical Review of Recent Research," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 155-170, February.
    8. Klaus Adam & Mario Padula, 2011. "Inflation Dynamics And Subjective Expectations In The United States," Economic Inquiry, Western Economic Association International, vol. 49(1), pages 13-25, January.
    9. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    10. Rudd, Jeremy & Whelan, Karl, 2005. "New tests of the new-Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1167-1181, September.
    11. Zhang, Xun & Lai, K.K. & Wang, Shou-Yang, 2008. "A new approach for crude oil price analysis based on Empirical Mode Decomposition," Energy Economics, Elsevier, vol. 30(3), pages 905-918, May.
    12. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64, Elsevier.
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    More about this item

    Keywords

    Output gap; New Keynesian Phillips curve; Empirical Mode Decomposition;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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